CN113819958A - Predictive maintenance system, predictive maintenance method and heading machine - Google Patents
Predictive maintenance system, predictive maintenance method and heading machine Download PDFInfo
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- 238000012423 maintenance Methods 0.000 title claims abstract description 111
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000005540 biological transmission Effects 0.000 claims abstract description 213
- 238000007789 sealing Methods 0.000 claims abstract description 153
- 238000007405 data analysis Methods 0.000 claims abstract description 124
- 239000010687 lubricating oil Substances 0.000 claims abstract description 115
- 238000013500 data storage Methods 0.000 claims abstract description 106
- 238000001514 detection method Methods 0.000 claims abstract description 70
- 239000003921 oil Substances 0.000 claims abstract description 42
- 238000004891 communication Methods 0.000 claims abstract description 24
- 230000009467 reduction Effects 0.000 claims abstract description 17
- 230000000052 comparative effect Effects 0.000 claims description 11
- 238000005461 lubrication Methods 0.000 claims 2
- 238000004458 analytical method Methods 0.000 abstract description 5
- 238000012360 testing method Methods 0.000 abstract description 5
- 239000003638 chemical reducing agent Substances 0.000 description 24
- 230000008901 benefit Effects 0.000 description 12
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- 238000010586 diagram Methods 0.000 description 6
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- G—PHYSICS
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention provides a predictive maintenance system, a predictive maintenance method and a heading machine, and relates to the technical field of engineering machinery. The predictive maintenance system is for a reduction gear unit including a plurality of transmission members and an oil chamber having lubricating oil and a seal disposed therein, the predictive maintenance system comprising: the sensor is arranged on the transmission part and in the oil cavity, the data storage module is in communication connection with the sensor, and the service life parameter data analysis module confirms the transmission part and the sealing part according to the detection data of the sensor, the lubricating oil pre-stored data, the sealing part pre-stored data and the transmission part pre-stored data. Through set up a plurality of sensors in decelerator, can detect driving medium and lubricating oil among the decelerator in real time to obtain the testing data, prestore data, sealing member prestore data and driving medium prestore data through data analysis module to testing data, lubricating oil and carry out the analysis, and then obtain the life parameter of driving medium and sealing member, realize the predictive maintenance to decelerator.
Description
Technical Field
The invention belongs to the technical field of engineering machinery, and particularly relates to a predictive maintenance system, a predictive maintenance method and a heading machine.
Background
In the speed reducer in the prior art, as shown in fig. 1, the service life of a key part is shortened due to high temperature, and only when the speed reducer 1 'breaks down, which key part has a problem can be found, and the remaining life of the key part cannot be predicted, so that the maintenance cost of the speed reducer 1' is high.
Disclosure of Invention
The invention aims to at least solve the technical problem that the remaining life of a key part cannot be predicted in the prior art or the related art, so that the maintenance cost of the speed reducing device is increased.
To this end, a first aspect of the invention proposes a predictive maintenance system.
A second aspect of the invention proposes a predictive maintenance method.
A third aspect of the invention provides a heading machine.
In view of the above, a first aspect of the present invention provides a predictive maintenance system for a reduction gear including a plurality of transmission members and an oil chamber in which lubricating oil and a seal are provided, comprising: at least part of the sensors are arranged on the transmission piece and used for detecting the transmission piece, and at least part of the sensors are arranged in the oil cavity and used for detecting lubricating oil; the data storage module is used for receiving and storing detection data of the sensor; the data analysis module is used for storing lubricating oil pre-stored data of lubricating oil, sealing element pre-stored data of a sealing element and transmission element pre-stored data of a transmission element; the data analysis module is in communication connection with the data storage module, acquires detection data of the sensor, and confirms service life parameters of the transmission member and the sealing member according to the detection data of the sensor, lubricating oil pre-storage data, sealing member pre-storage data and transmission member pre-storage data.
The application provides a predictive maintenance system for a reduction gear. Specifically, including a plurality of driving mediums among the decelerator, realize the transmission of torque through interconnect and interact between a plurality of driving mediums, and then realize the speed reduction function. And a plurality of oil cavities are also arranged among the plurality of transmission pieces, each oil cavity is sealed by a sealing piece, lubricating oil exists in each oil cavity, the lubricating oil is filled among the transmission pieces, and the oil temperature of the lubricating oil is increased in the interaction process of the transmission pieces. It will be appreciated that the lubricating oil is in contact with the seal, and that the temperature of the lubricating oil has a direct effect on the life of the seal. In order to predict the service life of the transmission piece and the sealing piece, a plurality of sensors are arranged in the transmission piece and the oil cavity and used for detecting lubricating oil in the transmission piece and the oil cavity to obtain detection data. The predictive maintenance system also includes a data storage module for receiving and storing sensed data from the sensor. Specifically, the sensor is in communication connection with the data storage module, and after the sensor detects the transmission member and the lubricating oil and obtains detection data, the detection data is sent to the data storage module, and the data storage module receives the detection data and stores the detection data. The sensor detects the transmission member and the lubricating oil in real time, and the data storage module continuously receives detection data and stores the continuously received detection data.
The predictive maintenance system also includes a data analysis module having lubricating oil pre-stored data for lubricating oil, seal pre-stored data for seals, and drive member pre-stored data for drive members pre-stored therein. It will be appreciated that different lubricating oils will have different effects on the seal, different types of seals will have different lifetimes, and different materials of the transmission member will have different effects on the increase in temperature of the lubricating oil due to debris that is scattered in the lubricating oil. Therefore, lubricating oil pre-stored data, sealing element pre-stored data and transmission element pre-stored data are pre-stored in the data analysis module, and the pre-stored data and the detection data of the sensor can be used for analyzing the service life parameters of the transmission element and the sealing element together.
The data analysis module can with data storage module communication connection, obtain the detection data of sensor to according to detection data, lubricating oil prestore data, sealing member prestore data and the life parameter that the driving medium prestores the data and obtain driving medium and sealing member. Specifically, the data analysis module is in communication connection with the data storage module, the data storage module sends the detection data to the data analysis module, and the data analysis module receives the detection data. Furthermore, a plurality of pre-stored samples are pre-stored in the data analysis module, different sensor detection data, lubricating oil pre-stored data, sealing element pre-stored data and service life parameters of the driving member and the sealing element corresponding to the driving member pre-stored data are stored in the plurality of pre-stored samples, the detection data detected by the sensor, the pre-stored lubricating oil data, the sealing element pre-stored data and the driving member pre-stored data are constructed into a comparison sample, the comparison sample is compared with the plurality of pre-stored samples one by one to obtain a pre-stored sample closest to the comparison sample, the closest pre-stored sample is taken as a determined sample, the service life parameters in the determined sample are extracted, the service life parameters are taken as the service life parameters of the driving member and the sealing element, so that the service life parameters of the driving member and the sealing element are obtained, the residual service lives of the driving member and the sealing element are obtained, and an operator can maintain or replace the driving member and the sealing element in advance according to the residual service lives of the driving member and the sealing element, predictive maintenance of the reduction gear is achieved.
Through set up a plurality of sensors in decelerator, can detect driving medium and lubricating oil in the decelerator in real time, in order to obtain the testing data, data will be detected through data analysis module, the lubricating oil prestores the data, the sealing member prestores data and the driving medium prestores the data and compares with the sample of prestoring, and then obtain the life parameter of driving medium and sealing member, acquire the remaining life of driving medium and sealing member, make the operator can maintain or change it in advance according to the remaining life of driving medium and sealing member, the realization is maintained decelerator predictively, prestore the remaining life of each key part in the decelerator in advance, in order to avoid maintaining again after decelerator breaks down, the maintenance cost is reduced, economic benefits has been improved.
The predictive maintenance system according to the invention described above may also have the following additional technical features:
in the above technical solution, further, the data storage module includes: the data storage module is in communication connection with the data analysis module through the data sending module; the first data transmission interface is used for connecting with the mobile storage equipment; the data analysis module comprises a second data transmission interface which is used for being connected with the mobile storage device.
In the technical scheme, in order to send the detection data stored in the data storage module to the data analysis module, the data storage module is provided with a data sending module, and the data storage module can be in communication connection with the data analysis module through the data sending module. Specifically, the data sending module can be connected with the data analysis module through a wireless network, and when the environment where the speed reduction device is located has the wireless network, the data sending module can send the detection data to the data analysis module in real time through the wireless network.
It can be understood that, in some cases, the deceleration device is in a working environment without a wireless network, and the data sending module cannot be in communication connection with the data analysis module. In order to enable the data storage module to send the detection data to the data analysis module under the condition that no wireless network exists, the data storage module and the data analysis module can be connected through the mobile storage device. Specifically, after the data storage module receives the monitoring data, the monitoring data is copied to the data analysis module through the mobile storage device at intervals, so that data transmission is realized.
The data storage module is provided with the data sending module, so that the data storage module can send the detection data to the data analysis module in real time in a network connection state. The detection data are copied from the data storage module to the data analysis module through the mobile storage device, so that the detection data can be transmitted to the data analysis module under the condition that the data storage module is not connected with a network, and the predictive maintenance system is suitable for various use environments.
In the above technical solution, further, the predictive maintenance system further includes: and the prompting device is in communication connection with the data analysis module and is used for displaying the service life parameters of the transmission part and the sealing part.
In this embodiment, the predictive maintenance system further includes a presentation device. The prompting device is in communication connection with the data analysis module, and after the data analysis module completes analysis of the detection data and obtains service life parameters of the transmission part and the sealing part, the service life parameters are sent to the prompting device, the prompting device receives and displays the service life parameters of the transmission part and the sealing part, an operator can obtain the service life parameters through the prompting device, and maintenance measures for the transmission part and the sealing part are made according to the service life parameters.
Through setting up suggestion device in predictive maintenance system to can show the life parameter of driving medium and sealing member through suggestion device, make the operator can obtain information directly perceivedly, and then formulate the maintenance measure to driving medium and sealing member according to the life parameter.
In the above technical solution, further, the transmission member includes a gear and a bearing, at least a part of the plurality of sensors is disposed on the gear, and at least a part of the plurality of sensors is disposed on the bearing.
In this technical scheme, the driving medium includes gear and bearing, and part sensor locates on the gear, and part sensor locates on the bearing. Further, the sensor can be a temperature sensor and also can be a vibration sensor, so that the temperature of the bearing, vibration data, the temperature rise data of the lubricating oil and the running stability data can be obtained through the sensor.
Part of the sensors are arranged on the gear, and part of the sensors are arranged on the bearing, so that the temperature, vibration data, oil temperature rise data of lubricating oil and running stability data of the bearing can be obtained through the sensors, and service life parameters of each key component can be obtained according to the data.
According to a second aspect of the present invention, there is also provided a predictive maintenance method for a predictive maintenance system as set forth in the first aspect of the present invention, comprising: acquiring a first performance parameter of a transmission part and a second performance parameter of lubricating oil; storing the first performance parameter and the second performance parameter in a data storage module; and confirming the service life parameters of the transmission piece and the sealing piece according to the first performance parameter and the second performance parameter.
The predictive maintenance method is suitable for a predictive maintenance system in a speed reducer, comprises a plurality of transmission parts, and realizes the transmission of torque through the mutual connection and interaction among the plurality of transmission parts so as to realize the speed reducing function. And a plurality of oil cavities are also arranged among the plurality of transmission pieces, each oil cavity is sealed by a sealing piece, lubricating oil exists in each oil cavity, the lubricating oil is filled among the transmission pieces, and the oil temperature of the lubricating oil is increased in the interaction process of the transmission pieces. It will be appreciated that the lubricating oil is in contact with the seal, and that the temperature of the lubricating oil has a direct effect on the life of the seal. In order to predict the service life of the transmission part and the sealing part, a plurality of sensors are arranged in the transmission part and the oil cavity and used for detecting lubricating oil in the transmission part and the oil cavity, and a first performance parameter of the transmission part and a second performance parameter of the lubricating oil can be obtained through the sensors.
And after the first performance parameter and the second performance parameter are obtained, storing the first performance parameter and the second performance parameter in a data storage module. Specifically, the sensor is in communication connection with the data storage module, the first performance parameter and the second performance parameter are sent to the data storage module, and the data storage module receives and stores the detection data. The sensor detects the transmission member and the lubricating oil in real time, and the data storage module continuously receives the first performance parameter and the second performance parameter and stores the continuously received first performance parameter and second performance parameter.
And finally, confirming the service life parameters of the transmission member and the sealing member according to the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the sealing member pre-stored data and the transmission member pre-stored data. Specifically, the data analysis module in the predictive maintenance system prestores lubricating oil prestore data, sealing element prestore data and transmission element prestore data, and after acquiring a first performance parameter and a second performance parameter, the detection data detected by the sensor, the prestored lubricating oil prestore data, the prestored sealing element prestore data and the transmission element prestore data are constructed into a comparison sample. The data analysis module is also prestored with a plurality of prestored samples, the comparison samples are compared with the prestored samples one by one to obtain the prestored sample closest to the comparison sample, the closest prestored sample is used as a determination sample, the life parameter in the determination sample is extracted, and the life parameter is used as the life parameter of the transmission part and the sealing part.
The operator can repair or replace the transmission member and the sealing member in advance according to the residual life of the transmission member and the sealing member, and the predictive maintenance of the speed reducing device is realized.
The transmission part and the lubricating oil are detected in real time to obtain a first performance parameter and a second performance parameter, the service life parameters of the transmission part and the sealing part are obtained according to the first performance parameter, the lubricating oil pre-stored data of the second performance parameter, the sealing part pre-stored data and the transmission part pre-stored data, and the residual service lives of the transmission part and the sealing part are obtained, so that an operator can maintain or replace the transmission part and the sealing part in advance according to the residual service lives of the transmission part and the sealing part, predictive maintenance of the speed reducer is realized, the residual service lives of all key parts in the speed reducer are pre-stored in advance, maintenance after the speed reducer breaks down is avoided, maintenance cost is reduced, and economic benefit is improved.
According to the predictive maintenance method of the present invention, the following additional technical features may be provided:
in the foregoing technical solution, further after the storing the first performance parameter and the second performance parameter in the data storage module, the method further includes: based on the fact that the data storage module is connected with the data analysis module through a network, the first performance parameter and the second performance parameter are sent to the data analysis module through the data storage module; based on the fact that the data storage module and the data analysis module cannot be connected through a network, the data storage module is controlled to send the first performance parameters and the second performance parameters to the external mobile storage device through the first data transmission interface, and the data analysis module is controlled to receive the first performance parameters and the second performance parameters from the mobile storage device through the second data transmission interface.
In this technical solution, after the first performance parameter and the second performance parameter are stored in the data storage module, in order to enable the data analysis module to obtain the first performance parameter and the second performance parameter, the first performance parameter and the second performance parameter need to be sent to the data analysis module.
The first performance parameter and the second performance parameter can be sent to the data analysis module by the data storage module based on the fact that the data storage module and the data analysis module can be connected through a network. Specifically, a data sending module is arranged in the data storage module, the data sending module can be connected with the data analysis module through a wireless network, and when the environment where the speed reduction device is located is provided with the wireless network, the data sending module can send the detection data to the data analysis module in real time through the wireless network.
It can be understood that, in some cases, the deceleration device is in a working environment without a wireless network, and the data sending module cannot be in communication connection with the data analysis module. Based on the fact that the data storage module and the data analysis module cannot be connected through a network, the data storage module is controlled to send the first performance parameters and the second performance parameters to the external mobile storage device through the first data transmission interface, and the data analysis module is controlled to receive the first performance parameters and the second performance parameters from the mobile storage device through the second data transmission interface. Specifically, a first data transmission interface is arranged on the data storage module, and a second data transmission interface is correspondingly arranged in the data analysis module. The first data transmission interface and the second data transmission interface can be connected with the mobile storage device, so that the transmission of the detection data is realized through the mobile storage device. Specifically. And after the data storage module receives the detection data, the mobile storage equipment is connected to the first data transmission interface at intervals, and the detection data is copied to the mobile storage equipment. And then connecting the mobile storage equipment with a second data transmission interface, and copying the detection data in the mobile storage equipment to a data analysis module, thereby realizing the transmission of the data.
The data storage module is provided with the data sending module, so that the data storage module can send the detection data to the data analysis module in real time in a network connection state. By arranging the first data transmission interface in the data storage module and arranging the second data transmission interface in the data analysis module, the detection data can be transmitted to the data analysis module under the condition that the data storage module is not connected with a network, so that the predictive maintenance system is suitable for various use environments.
In above-mentioned technical scheme, furtherly, prestore a plurality of prestore samples in the data analysis module, prestore data, sealing member prestore data and the life parameter that the driving medium confirmed driving medium and sealing member according to first performance parameter, second performance parameter, lubricating oil prestore the data, specifically do: constructing a comparative sample according to the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the sealing element pre-stored data and the transmission member pre-stored data; comparing the comparison sample with a plurality of prestored samples, and determining the prestored sample closest to the comparison sample as a determined sample; obtaining life parameters of a transmission part and the sealing part according to the determined sample; the comparison sample is stored in the data analysis module as a pre-stored sample.
In this technical scheme, a plurality of samples of prestoring in the data analysis module, through with first performance parameter, second performance parameter, lubricating oil prestore data, sealing member prestore data and the comparison sample that the data founded is prestore to the driving member with prestore the sample and compare and can obtain the life parameter of driving member and sealing member.
Specifically, after a first performance parameter and a second performance parameter are obtained, a comparison sample is constructed according to the first performance parameter, the second performance parameter, lubricating oil pre-stored data, sealing element pre-stored data and transmission element pre-stored data, the comparison sample is compared with a plurality of pre-stored samples one by one, a pre-stored sample closest to the comparison sample is obtained, the closest pre-stored sample is used as a determination sample, a life parameter in the determination sample is extracted, and the life parameter is used as life parameters of the transmission element and the sealing element, so that the life parameters of the transmission element and the sealing element are obtained.
Further, in order to enrich a pre-stored sample library and improve the precision of the determined residual life of the transmission member and the sealing member, after a comparative sample is determined, the life parameter obtained according to the comparative sample is added to the comparative sample, and the comparative sample added with the life parameter is stored in a data analysis module to serve as a new pre-stored sample. Therefore, the number of the prestored samples used for comparison is increased continuously, and the finally determined residual life precision is improved continuously.
The service life parameters of the transmission part and the sealing part are determined according to the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the sealing part pre-stored data and the transmission part pre-stored data, and the residual service lives of the transmission part and the sealing part are obtained, so that an operator can repair or replace the transmission part and the sealing part in advance according to the residual service lives of the transmission part and the sealing part, and the predictive maintenance of the speed reducer is realized. And the comparison sample is continuously stored in the data analysis module to be used as a new pre-stored sample, so that a pre-stored sample library can be enriched, and the finally determined residual life precision is improved.
In above-mentioned technical scheme, further, after confirming the life parameter of driving medium and sealing member according to first performance parameter, second performance parameter, lubricating oil prestore data, sealing member prestore data and driving medium prestore data, still include: and sending the service life parameters to a prompting device.
In this technical scheme, after data analysis module accomplished the analysis to the measured data and obtained the life parameter of driving medium and sealing member, send the life parameter to suggestion device, suggestion device receives and shows the life parameter of driving medium and sealing member, and operator's accessible suggestion device acquires the life parameter to make the maintenance measure to driving medium and sealing member according to the life parameter.
Through sending the life parameter to suggestion device to can show the life parameter of driving medium and sealing member through suggestion device, make the operator can acquire information directly perceivedly, and then formulate the maintenance measure to driving medium and sealing member according to the life parameter.
In the above technical solution, further, the transmission member includes a gear and a bearing, and the first performance parameter includes a temperature of the bearing, a natural frequency of the gear, and an operating frequency of the gear; the second performance parameter is the temperature of the lubricating oil.
In this technical scheme, the driving medium includes gear and bearing, and part sensor locates on the gear, and part sensor locates on the bearing. Further, the sensor can be a temperature sensor or a vibration sensor, so that the temperature of the bearing and the oil temperature of lubricating oil can be obtained through the sensor, the natural frequency of the gear and the running frequency of the gear can also be obtained, and vibration data and running stability data of the speed reducer can be obtained according to the data.
Part of the sensors are arranged on the gear, and part of the sensors are arranged on the bearing, so that the temperature, vibration data, oil temperature rise data of lubricating oil and running stability data of the bearing can be obtained through the sensors, and service life parameters of each key component can be obtained according to the data.
According to a third aspect of the present invention there is also provided a heading machine comprising a predictive maintenance system as set out in the first aspect of the invention.
The heading machine provided by the third aspect of the present invention has all the advantages of the predictive maintenance system, because the heading machine comprises the predictive maintenance system provided by the first aspect of the present invention.
The predictive maintenance system provided by the invention acquires the first performance parameter and the second performance parameter by detecting the transmission member and the lubricating oil in real time, acquires the service life parameters of the transmission member and the sealing member according to the first performance parameter, the lubricating oil prestored data of the second performance parameter, the sealing member prestored data and the transmission member prestored data, and acquires the residual service lives of the transmission member and the sealing member, so that an operator can maintain or replace the transmission member and the sealing member in advance according to the residual service lives of the transmission member and the sealing member, thereby realizing predictive maintenance of the speed reducer, and prestoring the residual service lives of all key components in the speed reducer in advance, so as to avoid maintenance after the speed reducer breaks down, reduce the maintenance cost and improve the economic benefit. The heading machine provided by the invention has the advantages of the predictive maintenance system because the heading machine comprises the predictive maintenance system provided by the first aspect of the invention.
The predictive maintenance method provided by the invention obtains the first performance parameter and the second performance parameter by detecting the transmission element and the lubricating oil in real time, obtains the service life parameters of the transmission element and the sealing element according to the first performance parameter, the lubricating oil prestored data of the second performance parameter, the sealing element prestored data and the transmission element prestored data, and obtains the residual service lives of the transmission element and the sealing element, so that an operator can maintain or replace the transmission element and the sealing element in advance according to the residual lives of the transmission element and the sealing element, thereby realizing the predictive maintenance of the speed reducer, prestoring the residual lives of all key components in the speed reducer in advance, avoiding the maintenance after the speed reducer breaks down, reducing the maintenance cost and improving the economic benefit.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 shows a schematic view of a reduction gear unit according to the prior art;
FIG. 2 shows a schematic block diagram of a predictive maintenance system in one embodiment of the invention;
FIG. 3 shows a schematic block diagram of a data storage module in one embodiment of the invention;
FIG. 4 shows a schematic block diagram of a data analysis module in one embodiment of the invention;
FIG. 5 is a schematic flow chart diagram of a predictive maintenance method in a fifth embodiment of the invention;
FIG. 6 is a schematic flow chart diagram of a predictive maintenance method in a sixth embodiment of the invention;
FIG. 7 is a schematic flow chart diagram showing a predictive maintenance method in a seventh embodiment of the invention;
fig. 8 shows a schematic flowchart of a predictive maintenance method in an eighth embodiment of the invention.
Wherein, the corresponding relationship between the reference numbers and the component names in fig. 1 is:
1' reduction gear.
The correspondence between reference numerals and component names in fig. 2 to 4 is:
100 predictive maintenance system, 110 sensors, 120 data storage module, 121 data transmission module, 122 first data transmission interface, 130 data analysis module, 131 second data transmission interface, 140 prompting device.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
The predictive maintenance system 100, the predictive maintenance method, and the heading machine according to some embodiments of the present invention are described below with reference to fig. 2 through 8.
Example 1:
as shown in fig. 2, an embodiment of a first aspect of the present invention provides a predictive maintenance system 100 for a reduction gear unit including a plurality of transmission members and an oil chamber having lubricating oil and seals disposed therein, comprising: at least part of the sensors 110 is arranged on the transmission part and used for detecting the transmission part, and at least part of the sensors 110 is arranged in the oil cavity and used for detecting lubricating oil; a data storage module 120 for receiving and storing the detection data of the sensor 110; the data analysis module 130 is used for storing lubricating oil pre-stored data of lubricating oil, sealing element pre-stored data of a sealing element and transmission element pre-stored data of a transmission element; the data analysis module 130 is in communication connection with the data storage module 120, and can acquire the detection data of the sensor 110, and the data analysis module 130 confirms the service life parameters of the transmission member and the sealing member according to the detection data of the sensor 110, the lubricating oil pre-stored data, the sealing member pre-stored data, and the transmission member pre-stored data.
The present application is directed to a predictive maintenance system 100 for a retarder unit. Specifically, including a plurality of driving mediums among the decelerator, realize the transmission of torque through interconnect and interact between a plurality of driving mediums, and then realize the speed reduction function. And a plurality of oil cavities are also arranged among the plurality of transmission pieces, each oil cavity is sealed by a sealing piece, lubricating oil exists in each oil cavity, the lubricating oil is filled among the transmission pieces, and the oil temperature of the lubricating oil is increased in the interaction process of the transmission pieces. It will be appreciated that the lubricating oil is in contact with the seal, and that the temperature of the lubricating oil has a direct effect on the life of the seal. In order to predict the life of the transmission and the seals, a plurality of sensors 110 are provided in the transmission and the oil chamber for detecting the lubricating oil in the transmission and the oil chamber to obtain detection data.
The predictive maintenance system 100 also includes a data storage module 120, and the data storage module 120 is configured to receive and store the detection data of the sensor 110. Specifically, the sensor 110 is in communication connection with the data storage module 120, and after the sensor 110 detects the transmission member and the lubricating oil and obtains detection data, the detection data is sent to the data storage module 120, and the data storage module 120 receives the detection data and stores the detection data. The sensor 110 detects the transmission member and the lubricating oil in real time, and the data storage module 120 continuously receives and stores the continuously received detection data.
The predictive maintenance system 100 also includes a data analysis module 130, wherein the data analysis module 130 is pre-stored with lubricating oil pre-stored data for the lubricating oil, seal pre-stored data for the seal, and drive member pre-stored data for the drive member. It will be appreciated that different lubricating oils will have different effects on the seal, different types of seals will have different lifetimes, and different materials of the transmission member will have different effects on the increase in temperature of the lubricating oil due to debris that is scattered in the lubricating oil. Therefore, the data analysis module 130 pre-stores the pre-stored data of the lubricating oil, the pre-stored data of the sealing element and the pre-stored data of the transmission element, and the pre-stored data can be combined with the detection data of the sensor to jointly analyze the service life parameters of the transmission element and the sealing element.
The data analysis module 130 can be in communication with the data storage module 120 to obtain the detection data of the sensor 110, so as to obtain the life parameters of the transmission member and the sealing member according to the detection data, the lubricating oil pre-stored data, the sealing member pre-stored data and the transmission member pre-stored data. Specifically, the data analysis module 130 is communicatively connected to the data storage module 120, the data storage module 120 sends the detection data to the data analysis module 130, and the data analysis module 130 receives the detection data. Further, a plurality of pre-stored samples are pre-stored in the data analysis module 130, the plurality of pre-stored samples store different sensor detection data, lubricating oil pre-stored data, sealing member pre-stored data and life parameters of the driving member and the sealing member corresponding to the driving member pre-stored data, the detection data detected by the sensor 110, the pre-stored lubricating oil data, the pre-stored sealing member data and the driving member pre-stored data constitute a comparison sample, the comparison sample is compared with the plurality of pre-stored samples one by one to obtain a pre-stored sample closest to the comparison sample, the closest pre-stored sample is used as a determination sample, life parameters in the determination sample are extracted, the life parameters are used as the life parameters of the driving member and the sealing member, so that the life parameters of the driving member and the sealing member are obtained, the remaining lives of the driving member and the sealing member are obtained, and an operator can maintain or replace the driving member and the sealing member in advance according to the remaining lives of the driving member and the sealing member, predictive maintenance of the reduction gear is achieved.
Through set up a plurality of sensors 110 in decelerator, can detect driving medium and lubricating oil in the decelerator in real time, in order to obtain the testing data, through data analysis module 130 with the testing data, the lubricating oil prestores the data, the sealing member prestores the data and the driving medium prestores the data and prestores the sample and contrast, and then obtain the life parameter of driving medium and sealing member, acquire the remaining life of driving medium and sealing member, make the operator can maintain or change it in advance according to the remaining life of driving medium and sealing member, the realization is maintained decelerator predictively, prestore the remaining life of each key part in the decelerator in advance, in order to avoid maintaining again after decelerator breaks down, the maintenance cost is reduced, economic benefits has been improved.
Example 2:
as shown in fig. 3 and 4, based on embodiment 1, embodiment 2 provides a predictive maintenance system 100, wherein the data storage module 120 includes: the data transmission module 121, the data storage module 120 is in communication connection with the data analysis module 130 through the data transmission module 121; a first data transmission interface 122 for connecting with a mobile storage device; the data analysis module 130 includes a second data transmission interface 131 for connecting with a mobile storage device.
In this embodiment, in order to transmit the detection data stored in the data storage module 120 to the data analysis module 130, a data transmission module 121 is provided in the data storage module 120, and the data storage module 120 may be communicatively connected to the data analysis module 130 through the data transmission module 121. Specifically, the data sending module 121 may be connected to the data analysis module 130 through a wireless network, and when the environment where the speed reducer is located has the wireless network, the data sending module 121 may send the detection data to the data analysis module 130 through the wireless network in real time.
It is understood that in some cases, the deceleration device is in an operating environment without a wireless network, and the data transmission module 121 cannot be communicatively connected to the data analysis module 130. In order to enable the data storage module 120 to send the detection data to the data analysis module 130 in a state without a wireless network, the data storage module 120 and the data analysis module 130 may be connected through a mobile storage device. Specifically, after receiving the monitoring data, the data storage module 120 copies the detection data to the data analysis module 130 via the mobile storage device at intervals, thereby implementing data transmission.
By providing the data transmission module 121 in the data storage module 120, the data storage module 120 can transmit the detection data to the data analysis module 130 in real time in a network-connected state. The detection data is copied from the data storage module 120 to the data analysis module 130 by the mobile storage device, so that the detection data can be transmitted to the data analysis module 130 even in a state that the data storage module 120 is not connected to the network, and the predictive maintenance system 100 is suitable for various use environments.
Example 3:
as shown in fig. 2, on the basis of any of the above embodiments, embodiment 3 provides a predictive maintenance system 100, further including: and the prompting device 140 is in communication connection with the data analysis module 130 and is used for displaying the service life parameters of the transmission part and the sealing part.
In this embodiment, the predictive maintenance system 100 further includes a prompting device 140. Prompting device 140 and data analysis module 130 communication connection, after data analysis module 130 accomplished the analysis to the detected data and obtained the life parameter of driving medium and sealing member, send the life parameter to prompting device 140, prompting device 140 received and displayed the life parameter of driving medium and sealing member, operator's accessible prompting device 140 obtained the life parameter to make the maintenance measure to driving medium and sealing member according to the life parameter.
By providing the prompting device 140 in the predictive maintenance system 100, the life parameters of the transmission member and the sealing member can be displayed through the prompting device 140, so that an operator can visually acquire information, and further, maintenance measures for the transmission member and the sealing member can be made according to the life parameters.
Example 4:
based on any of the above embodiments, embodiment 4 provides a predictive maintenance system 100, wherein the transmission comprises a gear and a bearing, at least a portion of the plurality of sensors 110 is disposed on the gear, and at least a portion of the plurality of sensors 110 is disposed on the bearing.
In this embodiment, the transmission comprises a gear and a bearing, with part of the sensor 110 being located on the gear and part of the sensor 110 being located on the bearing. Further, the sensor 110 may be a temperature sensor 110, or may be a vibration sensor 110, so that the sensor 110 may acquire the bearing temperature, the vibration data, the oil temperature rise data of the lubricating oil, and the running stability data.
By arranging part of the sensors 110 on the gear and arranging part of the sensors 110 on the bearing, the temperature, vibration data, oil temperature rise data of lubricating oil and running stability data of the bearing can be obtained through the sensors 110, and service life parameters of all key parts can be obtained according to the data.
Example 5:
as shown in fig. 5, according to the second aspect of the present invention, there is also provided a predictive maintenance method for a predictive maintenance system according to the first aspect of the present invention, including:
s502: acquiring a first performance parameter of a transmission part and a second performance parameter of lubricating oil;
s504: storing the first performance parameter and the second performance parameter in a data storage module;
s508: and confirming the service life parameters of the transmission member and the sealing member according to the first performance parameter, the second performance parameter, the lubricating oil prestored data, the sealing member prestored data and the transmission member prestored data.
The predictive maintenance method is suitable for a predictive maintenance system in a speed reducer, comprises a plurality of transmission parts, and realizes the transmission of torque through the mutual connection and interaction among the plurality of transmission parts so as to realize the speed reducing function. And a plurality of oil cavities are also arranged among the plurality of transmission pieces, each oil cavity is sealed by a sealing piece, lubricating oil exists in each oil cavity, the lubricating oil is filled among the transmission pieces, and the oil temperature of the lubricating oil is increased in the interaction process of the transmission pieces. It will be appreciated that the lubricating oil is in contact with the seal, and that the temperature of the lubricating oil has a direct effect on the life of the seal. In order to predict the service life of the transmission part and the sealing part, a plurality of sensors are arranged in the transmission part and the oil cavity and used for detecting lubricating oil in the transmission part and the oil cavity, and a first performance parameter of the transmission part and a second performance parameter of the lubricating oil can be obtained through the sensors.
And after the first performance parameter and the second performance parameter are obtained, storing the first performance parameter and the second performance parameter in a data storage module. Specifically, the sensor is in communication connection with the data storage module, the first performance parameter and the second performance parameter are sent to the data storage module, and the data storage module receives and stores the detection data. The sensor detects the transmission member and the lubricating oil in real time, and the data storage module continuously receives the first performance parameter and the second performance parameter and stores the continuously received first performance parameter and second performance parameter.
And finally, confirming the service life parameters of the transmission member and the sealing member according to the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the sealing member pre-stored data and the transmission member pre-stored data. Specifically, the data analysis module in the predictive maintenance system prestores lubricating oil prestore data, sealing element prestore data and transmission element prestore data, and after acquiring a first performance parameter and a second performance parameter, the detection data detected by the sensor, the prestored lubricating oil prestore data, the prestored sealing element prestore data and the transmission element prestore data are constructed into a comparison sample. The data analysis module is also prestored with a plurality of prestored samples, the comparison samples are compared with the prestored samples one by one to obtain the prestored sample closest to the comparison sample, the closest prestored sample is used as a determination sample, the life parameter in the determination sample is extracted, and the life parameter is used as the life parameter of the transmission part and the sealing part.
The operator can repair or replace the transmission member and the sealing member in advance according to the residual life of the transmission member and the sealing member, and the predictive maintenance of the speed reducing device is realized.
The transmission part and the lubricating oil are detected in real time to obtain a first performance parameter and a second performance parameter, the service life parameters of the transmission part and the sealing part are obtained according to the first performance parameter, the lubricating oil pre-stored data of the second performance parameter, the sealing part pre-stored data and the transmission part pre-stored data, and the residual service lives of the transmission part and the sealing part are obtained, so that an operator can maintain or replace the transmission part and the sealing part in advance according to the residual service lives of the transmission part and the sealing part, predictive maintenance of the speed reducer is realized, the residual service lives of all key parts in the speed reducer are pre-stored in advance, maintenance after the speed reducer breaks down is avoided, maintenance cost is reduced, and economic benefit is improved.
Example 6:
as shown in fig. 6, based on embodiment 5, embodiment 6 provides a predictive maintenance method, which further includes, after storing the first performance parameter and the second performance parameter in the data storage module:
s505: judging whether network connection exists between the data storage module and the data analysis module;
s506: if the data storage module is connected with the data analysis module through a network, the first performance parameter and the second performance parameter are sent to the data analysis module through the data storage module;
s507: and if no network connection exists between the data storage module and the data analysis module, controlling the data storage module to send the first performance parameter and the second performance parameter to the external mobile storage device through the first data transmission interface, and controlling the data analysis module to receive the first performance parameter and the second performance parameter from the mobile storage device through the second data transmission interface.
In this embodiment, after the first performance parameter and the second performance parameter are stored in the data storage module, in order to enable the data analysis module to obtain the first performance parameter and the second performance parameter, the first performance parameter and the second performance parameter need to be sent to the data analysis module.
The first performance parameter and the second performance parameter can be sent to the data analysis module by the data storage module based on the fact that the data storage module and the data analysis module can be connected through a network. Specifically, a data sending module is arranged in the data storage module, the data sending module can be connected with the data analysis module through a wireless network, and when the environment where the speed reduction device is located is provided with the wireless network, the data sending module can send the detection data to the data analysis module in real time through the wireless network.
It can be understood that, in some cases, the deceleration device is in a working environment without a wireless network, and the data sending module cannot be in communication connection with the data analysis module. Based on the fact that the data storage module and the data analysis module cannot be connected through a network, the data storage module is controlled to send the first performance parameters and the second performance parameters to the external mobile storage device through the first data transmission interface, and the data analysis module is controlled to receive the first performance parameters and the second performance parameters from the mobile storage device through the second data transmission interface. Specifically, a first data transmission interface is arranged on the data storage module, and a second data transmission interface is correspondingly arranged in the data analysis module. The first data transmission interface and the second data transmission interface can be connected with the mobile storage device, so that the transmission of the detection data is realized through the mobile storage device. Specifically. And after the data storage module receives the detection data, the mobile storage equipment is connected to the first data transmission interface at intervals, and the detection data is copied to the mobile storage equipment. And then connecting the mobile storage equipment with a second data transmission interface, and copying the detection data in the mobile storage equipment to a data analysis module, thereby realizing the transmission of the data.
The data storage module is provided with the data sending module, so that the data storage module can send the detection data to the data analysis module in real time in a network connection state. By arranging the first data transmission interface in the data storage module and arranging the second data transmission interface in the data analysis module, the detection data can be transmitted to the data analysis module under the condition that the data storage module is not connected with a network, so that the predictive maintenance system is suitable for various use environments.
Example 7:
as shown in fig. 7, based on any of the above embodiments, embodiment 7 provides a predictive maintenance method, and the data analysis module is provided with a prestored algorithm, which confirms the life parameters of the transmission member and the sealing member according to the first performance parameter and the second performance parameter, specifically:
s508 a: constructing a comparative sample according to the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the sealing element pre-stored data and the transmission member pre-stored data;
s508 b: comparing the comparison sample with a plurality of prestored samples, and determining the prestored sample closest to the comparison sample as a determined sample;
s508 c: obtaining the service life parameters of the transmission part and the sealing part according to the determined sample;
s508 d: the comparison sample is stored in the data analysis module as a pre-stored sample.
In this embodiment, a plurality of pre-stored samples are pre-stored in the data analysis module, and the life parameters of the transmission member and the sealing member can be obtained by comparing a comparison sample constructed by the pre-stored data of the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the pre-stored data of the sealing member and the pre-stored data of the transmission member with the pre-stored sample.
Specifically, after a first performance parameter and a second performance parameter are obtained, a comparison sample is constructed according to the first performance parameter, the second performance parameter, lubricating oil pre-stored data, sealing element pre-stored data and transmission element pre-stored data, the comparison sample is compared with a plurality of pre-stored samples one by one, a pre-stored sample closest to the comparison sample is obtained, the closest pre-stored sample is used as a determination sample, a life parameter in the determination sample is extracted, and the life parameter is used as life parameters of the transmission element and the sealing element, so that the life parameters of the transmission element and the sealing element are obtained.
Further, in order to enrich a pre-stored sample library and improve the precision of the determined residual life of the transmission member and the sealing member, after a comparative sample is determined, the life parameter obtained according to the comparative sample is added to the comparative sample, and the comparative sample added with the life parameter is stored in a data analysis module to serve as a new pre-stored sample. Therefore, the number of the prestored samples used for comparison is increased continuously, and the finally determined residual life precision is improved continuously.
The service life parameters of the transmission part and the sealing part are determined according to the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the sealing part pre-stored data and the transmission part pre-stored data, and the residual service lives of the transmission part and the sealing part are obtained, so that an operator can repair or replace the transmission part and the sealing part in advance according to the residual service lives of the transmission part and the sealing part, and the predictive maintenance of the speed reducer is realized. And the comparison sample is continuously stored in the data analysis module to be used as a new pre-stored sample, so that a pre-stored sample library can be enriched, and the finally determined residual life precision is improved.
Example 8:
as shown in fig. 8, based on any of the above embodiments, embodiment 8 provides a predictive maintenance method, further including, after confirming the life parameters of the transmission and the seal:
s509: and sending the service life parameters to a prompting device.
In this embodiment, after data analysis module accomplished the analysis to the detected data and obtained the life parameter of driving medium and sealing member, send the life parameter to suggestion device, suggestion device receives and shows the life parameter of driving medium and sealing member, and operator's accessible suggestion device acquires the life parameter to formulate the maintenance measure to driving medium and sealing member according to the life parameter.
Through sending the life parameter to suggestion device to can show the life parameter of driving medium and sealing member through suggestion device, make the operator can acquire information directly perceivedly, and then formulate the maintenance measure to driving medium and sealing member according to the life parameter.
Example 9:
embodiment 9 provides, on the basis of any of the embodiments above, a predictive maintenance method, wherein the transmission comprises a gear and a bearing, the first performance parameter comprises a temperature of the bearing, a natural frequency of the gear, and an operating frequency of the gear; the second performance parameter is the temperature of the lubricating oil.
In this embodiment, the transmission member includes a gear and a bearing, and a part of the sensor is provided on the upper gear and a part of the sensor is provided on the bearing. Further, the sensor can be a temperature sensor or a vibration sensor, so that the temperature of the bearing and the oil temperature of lubricating oil can be obtained through the sensor, the natural frequency of the gear and the running frequency of the gear can also be obtained, and vibration data and running stability data of the speed reducer can be obtained according to the data.
Part of the sensors are arranged on the gear, and part of the sensors are arranged on the bearing, so that the temperature, vibration data, oil temperature rise data of lubricating oil and running stability data of the bearing can be obtained through the sensors, and service life parameters of each key component can be obtained according to the data.
Example 10:
according to a third aspect of the present invention there is also provided a heading machine comprising a predictive maintenance system as set out in the first aspect of the invention.
The heading machine provided by the third aspect of the present invention has all the advantages of the predictive maintenance system, because the heading machine comprises the predictive maintenance system provided by the first aspect of the present invention.
Example 11:
the present invention provides a predictive maintenance system for a reduction gear, the reduction gear comprising: an input shaft; the input end bearing is sleeved on the input shaft; the input end bearing block is sleeved on the input end bearing and fixedly connected to the speed reducer box body, a first rotary sealing assembly and a second rotary sealing assembly are arranged between the input end bearing block and the input shaft and are positioned on two sides of the input end bearing, an input end bearing oil cavity is defined by the input end bearing and is internally stored with lubricating oil for lubricating the input end bearing; an output shaft; the output end bearing is sleeved on the output shaft; the cutting speed reducer and the tunneling machine can ensure that the bearings at the input end and the output end are continuously and effectively lubricated in the working process.
And vibration and temperature sensors are arranged at the bearing and the sealing component, so that the running information of key parts can be monitored in real time.
And developing a life prediction algorithm, realizing data acquisition, predicting life information in real time, and providing the life information for an operator to prompt the operator to operate and maintain.
The data transmission scheme comprises the following steps:
the first step is as follows: the data collected by the sensor is transmitted to the data analysis module through the data storage module, is limited by the underground environment in the early stage, cannot be transmitted infinitely in real time, and can be copied in an off-line storage medium copying mode.
The second step is that: and (4) carrying out algorithm compilation through the measured data.
In the present invention, the term "plurality" means two or more unless explicitly defined otherwise. The terms "mounted," "connected," "fixed," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection; "coupled" may be direct or indirect through an intermediary. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description herein, the description of the terms "one embodiment," "some embodiments," "specific embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A predictive maintenance system for a reduction gear unit, said reduction gear unit including a plurality of transmission members and oil pockets, said oil pockets having lubricating oil and seals disposed therein, said predictive maintenance system comprising:
at least part of the sensors are arranged on the transmission part and used for detecting the transmission part, and at least part of the sensors are arranged in the oil cavity and used for detecting the lubricating oil;
the data storage module is in communication connection with the sensor and is used for receiving and storing detection data of the sensor;
the data analysis module is used for storing lubricating oil pre-stored data of the lubricating oil, sealing element pre-stored data of the sealing element and transmission element pre-stored data of the transmission element;
the data analysis module is in communication connection with the data storage module and acquires detection data of the sensor, and the data analysis module confirms service life parameters of the transmission member and the sealing member according to the detection data of the sensor, the lubricating oil pre-stored data, the sealing member pre-stored data and the transmission member pre-stored data.
2. The predictive maintenance system of claim 1, wherein the data storage module comprises:
the data storage module is in communication connection with the data analysis module through the data sending module;
the first data transmission interface is used for connecting with the mobile storage equipment;
the data analysis module comprises a second data transmission interface which is used for being connected with the mobile storage device.
3. The predictive maintenance system of claim 1, further comprising:
and the prompting device is in communication connection with the data analysis module and is used for displaying the service life parameters of the transmission part and the sealing part.
4. The predictive maintenance system of claim 1,
the transmission part comprises a gear and a bearing, at least part of the sensors are arranged on the gear, and at least part of the sensors are arranged on the bearing.
5. A predictive maintenance method for use in a predictive maintenance system according to any one of claims 1 to 4, the predictive maintenance method comprising:
acquiring a first performance parameter of a transmission part and a second performance parameter of lubricating oil;
storing the first performance parameter and the second performance parameter in a data storage module;
and confirming the service life parameters of the transmission part and the sealing part according to the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the sealing part pre-stored data and the transmission part pre-stored data.
6. The predictive maintenance method of claim 5, further comprising, after said storing said first performance parameter and said second performance parameter in a data storage module:
based on the fact that the data storage module is connected with the data analysis module through a network, the first performance parameter and the second performance parameter are sent to the data analysis module by the data storage module;
based on the fact that the data storage module and the data analysis module cannot be connected through a network, the data storage module is controlled to send the first performance parameter and the second performance parameter to an external mobile storage device through a first data transmission interface, and the data analysis module is controlled to receive the first performance parameter and the second performance parameter from the mobile storage device through a second data transmission interface.
7. The predictive maintenance method of claim 5, wherein the data analysis module is pre-stored with a plurality of pre-stored samples, and wherein the identifying the transmission and seal life parameters based on the first performance parameter, the second performance parameter, the pre-stored lubrication oil data, the pre-stored seal data, and the pre-stored transmission data comprises:
constructing a comparative sample according to the first performance parameter, the second performance parameter, the lubricating oil pre-stored data, the sealing element pre-stored data and the transmission member pre-stored data;
comparing the comparison sample with the plurality of prestored samples, and determining the prestored sample closest to the comparison sample as a determined sample;
obtaining life parameters of the transmission part and the sealing part according to the determined sample;
storing the comparison sample in the data analysis module as the pre-stored sample.
8. The predictive maintenance method of claim 5, further comprising, after said confirming a life parameter of said drive member and seal based on said first performance parameter, said second performance parameter, pre-stored lubrication data, pre-stored seal data, and pre-stored drive member data:
and sending the service life parameters to a prompting device.
9. The predictive maintenance method of claim 5,
the transmission comprises a gear and a bearing, the first performance parameter comprises a temperature of the bearing, a natural frequency of the gear, and an operating frequency of the gear;
the second performance parameter is a temperature of the lubricating oil.
10. A heading machine comprising a predictive maintenance system according to any one of claims 1 to 4.
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