CN113482863A - State evaluation and health management system of wind generating set - Google Patents
State evaluation and health management system of wind generating set Download PDFInfo
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Abstract
The invention provides a wind generating set state evaluation and health management system, which is characterized in that: CMS and SCADA data of a plurality of wind generating sets of each wind power plant are transmitted to a wind power plant server through a wind power plant ring network by optical fibers, and then are transmitted and stored on a cloud server through the Internet; the cloud server deploys wind turbine state evaluation and health management system software; the method comprises the following steps that an owner, a complete machine supplier, a large part supplier and an operation and maintenance supplier access CMS and SCADA data of a fan in a cloud server through the Internet and perform information interaction; the wind generating set state evaluation and health management system comprises: the system comprises a user management layer, a data access layer, a data operation layer, an algorithm execution layer and a data management layer; and (4) establishing a case discussion group at a data operation layer by the owner authority user, and tracking the special problems. The invention improves the digital and intelligent management level of the owner to the wind power plant.
Description
Technical Field
The invention relates to the technical field of wind generating sets, in particular to a management system of a wind generating set.
Background
The technical scheme of the existing wind generating set state evaluation and health management system is as follows:
establishing a centralized monitoring platform, providing service by a supplier according to data accessed to an SCADA (supervisory control and data acquisition) system and a CMS (management system) system of the fan, and further making maintenance measures based on a service report of the supplier;
an intelligent management platform based on a big data technology is developed, the technical threshold of the platform is high, the running state of a unit is intelligently evaluated, and manual intervention and rechecking are needed;
and integrating the regular inspection polling report and the supplier service report of each unit of each wind power plant by the wind power plant owner, and formulating a proper operation maintenance strategy.
The unit without the CMS system is subjected to inspection by wind power plant service personnel and operation and maintenance suppliers to evaluate the state of the unit.
The prior art has the following disadvantages:
the centralized monitoring platform has access to a large amount of unit data, has large data scale, has higher requirements on network speed and network equipment, has low intelligentization level, only sets a simple alarm threshold value, has extremely high probability of false alarm and missed alarm, needs a very professional engineer to recheck the alarm data, needs an owner to coordinate a data service provider and an equipment operation and maintenance provider to troubleshoot the unit problems, and is difficult to establish an effective cooperation mechanism.
Because the fan manufacturer SCADA system and the CMS system have more brands, different data communication protocols and incompatible data, and the data acquisition strategies, the data definitions and the like defined by each brand are different, a unified large data platform is difficult to establish, and intelligent management is performed on each machine type.
The wind power plant owner integrates service reports and inspection messages of multiple parties, the workload of communication and coordination is large, the digitization level is low, the information of the unit is not timely and accurately grasped, and the service efficiency of the unit is influenced, so that unnecessary power generation loss is caused.
The responsibility and skill level of the service personnel influence the result of the state evaluation of the unit, and the service personnel are difficult to be incorporated into the existing or to-be-developed big data management platform.
Disclosure of Invention
The invention provides a state evaluation and health management system for a wind generating set, and aims to overcome the defects of the prior art and improve the digital and intelligent management level of owners on wind power plants.
The technical scheme adopted by the invention for solving the technical problems is as follows:
wind generating set state evaluation and health management system, its characterized in that:
CMS and SCADA data of a plurality of wind generating sets of each wind power plant are transmitted to a wind power plant server through a wind power plant ring network by optical fibers, and then are transmitted and stored on a cloud server through the Internet;
the cloud server deploys wind turbine state evaluation and health management system software;
the method comprises the following steps that an owner, a complete machine supplier, a large part supplier and an operation and maintenance supplier access CMS and SCADA data of a fan in a cloud server through the Internet and perform information interaction;
the wind generating set state evaluation and health management system comprises:
the system comprises a user management layer, a data access layer, a data operation layer, an algorithm execution layer and a data management layer;
the user management layer comprises an administrator system and a user authority management part;
the administrator system is the highest-authority user layer, can add and delete users with various levels and authorities, and can modify and define the authorities and authority contents of the users with various levels;
the user authority management comprises two parts of user access authority and function authority management;
the user access authority is divided into an owner authority and a supplier authority;
the supplier authority comprises a complete machine supplier authority, a large part supplier authority and an operation and maintenance supplier authority, and the supplier authority is added by the owner authority;
the data access layer: the method comprises the steps of data communication management, online data access and offline data access;
data communication management: a customized interface communication program is developed aiming at main stream SCADA data and CMS data, a unified data communication standard protocol is established aiming at data of other brands, a data supplier develops a communication interface program according to the protocol requirement, the original communication program and the communication program developed later are managed in a unified way, and when the communication interface program is used, a corresponding manufacturer is selected to access the data;
online data access: accessing data of a real-time online SCADA system and a CMS system;
offline data access: selecting and importing offline data from a webpage end;
the data operation layer comprises a rotating speed management unit, a load management unit and a parameter management unit;
the data operation layer carries out real-time monitoring analysis on the online data, establishes a path tree for the offline imported data and establishes a tracking record of the multiple offline data of one unit; adopting a consistent analysis means aiming at the online data and the offline data;
the rotating speed management unit manages state data according to different rotating speed intervals; the load management unit manages state data according to different load intervals; the parameter management unit manages data of the gear box, the generator and the main shaft bearing;
the users of each level can execute the uploading and issuing operation of information in the data operation layer, the information issued by the authority of the upper level informs the authority of the lower level to enter the system for checking through the reminding modes of mails, telephones and short messages, and continues to upload or issue corresponding information and instructions, and the users of each level complete the monitoring of the state of the unit and the part and the processing of problems in the system;
the owner authority user can establish a case discussion group on a data operation layer to track the special problems;
the algorithm execution layer comprises a fault early warning unit, a fault diagnosis unit and a state evaluation unit;
the fault early warning unit calculates various characteristic indexes, establishes an early warning model base based on the indexes, and can automatically adapt to a proper early warning model according to the type and the structure type corresponding to the access data and the data integrity;
the fault diagnosis unit realizes fault positioning;
the state evaluation unit divides the unit state into a plurality of levels based on the results of the fault early warning unit and the fault diagnosis unit and a built-in state evaluation model;
the data management layer comprises a state management unit and an operation and maintenance management unit;
the state management unit classifies and manages the unit state according to a plurality of levels evaluated by the state evaluation unit, and a spare part pre-inventory system is established in a comprehensive optimization mode according to the damage conditions of large parts and parts of each machine type which are subjected to statistical analysis;
the operation and maintenance management unit comprises personnel management, scheme management and tool management, and an intelligent operation and maintenance system is established in a comprehensive optimization mode according to the serious level of the unit state and the stock condition of spare parts.
The administrator system can re-edit the system bottom program and functional architecture and perform secondary development on all algorithm models covered by the algorithm execution layer.
The owner authority is divided into a plurality of levels from high to low, the supplier authority is added by the low-level authority, and the corresponding authority can be formally opened after the confirmation of the high-level authority is obtained.
The owner authority is divided into three levels, namely a first-level group level, a second-level regional company level and a third-level station level, the supplier authority is added by the third-level station level authority, and the corresponding authority can be officially opened after the second-level regional company level authority and the first-level group level authority are confirmed.
The function authority management respectively comprises browsing authority, diagnosis and analysis authority, data import authority, unit management authority, parameter setting authority, command issuing authority, operation and maintenance management authority, self-service report authority and statistical analysis authority.
The off-line data format of the mainstream manufacturer in off-line data access can be automatically read after selecting the data source, and other data formats are manually sorted according to the requirements of the standard format and then the data source is selected to import data.
The path tree comprises an owner name, a wind power plant name, a fan number, a measuring point position, a measuring point direction and acquisition definition, and a tracking record of multiple off-line data of one unit is established.
The indexes calculated by the fault early warning unit comprise time domain indexes: kurtosis factor, margin factor, form factor, skewness factor, RMS value, peak-to-peak value, frequency domain index: 5 relative frequency band energy, spectral peak stability coefficient, barycentric frequency, frequency standard deviation, gear characteristic frequency: the rotating frequency and the rotating frequency of each rotating shaft are doubled, tripled and 0.5 multiplied, the meshing frequency of each level is doubled, tripled and bearing characteristic frequency: roller pass frequency, cage pass frequency, inner ring pass frequency, outer ring pass frequency.
The unit state is divided into 5 levels, namely normal, early warning, alarming, high reporting and danger.
And the operation and maintenance management unit further feeds back the actual operation and maintenance processing result to the algorithm execution layer based on the actual operation and maintenance processing result of the data management layer, and continuously and iteratively improves the precision of the fault early warning model, the fault diagnosis model and the state evaluation model.
The invention has the advantages that:
the invention aims at the actual requirements of users, establishes a machine operation and maintenance management platform based on the cooperation and intercommunication of an owner, a complete machine supplier, a large part supplier and an operation and maintenance supplier of a B/S framework, issues problems by the owner, solves the problems by the cooperation of all suppliers, greatly improves the operation efficiency of machine operation and maintenance, reduces the time for information transfer among all levels, establishes an intelligent operation and maintenance system based on the integration of fault early warning, fault diagnosis and state evaluation, and improves the digital and intelligent management level of the owner on a wind power plant.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is an overall architecture diagram of the present invention;
FIG. 2 is a functional block diagram of the system of the present invention;
FIG. 3 is a diagram illustrating functional rights of a user according to the present invention;
FIG. 4 is a flow chart of the state estimation of the present invention;
FIG. 5 is a diagram illustrating the evaluation of the status hierarchy according to the present invention.
Detailed Description
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description will be briefly introduced, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained according to the drawings without inventive labor. In order to facilitate an understanding of the invention, the invention is described in more detail below with reference to the accompanying drawings and specific examples.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may be present. As used in this specification, the terms "upper," "lower," "inner," "outer," "bottom," and the like are used in the orientation or positional relationship indicated in the drawings for convenience in describing the invention and simplicity in description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The overall architecture of the wind generating set state evaluation and health management system is shown in fig. 1:
CMS and SCADA data of a plurality of wind generating sets 1 of each wind power plant set are transmitted to a wind power plant server 2 through a data line or Internet or an optical fiber wind power plant ring network, and then are transmitted and stored on a cloud server 3 through the Internet.
And the cloud server 3 deploys wind turbine state evaluation and health management system software.
The owner 4, the complete machine supplier 5, the major component supplier 6 and the operation and maintenance supplier 7 access CMS and SCADA data of the fan 1 in the cloud server 3 through the Internet and perform information interaction.
Wind generating set state evaluation and health management system, its realization form lies in that it includes:
a user management layer, a data access layer, a data operation layer, an algorithm execution layer and a data management layer, and a system functional architecture diagram is shown in fig. 2:
the user management layer comprises an administrator system and a user authority management part.
The administrator system is the highest-authority user layer, can add and delete users with various levels and authorities, and can modify and define the authorities and authority contents of the users with various levels; the system bottom layer program and the functional architecture can be edited again, and all algorithm models covered by the algorithm execution layer are developed for the second time so as to be continuously corrected to achieve the best evaluation diagnosis precision.
The user authority management comprises two parts of user access authority and function authority management.
Wherein the access rights are divided into owner rights and supplier rights.
The owner authority is divided into three levels, namely a first-level cluster level, a second-level regional company level and a third-level station level, and users at each level can only access data of wind generating sets of the wind power plant corresponding to the level.
The supplier authority is divided into complete machine supplier authority, large part supplier authority and operation and maintenance supplier authority, the supplier authority is added by the owner three-level station level authority, and corresponding authority can be officially opened after the confirmation of the region level authority and the group level authority is obtained.
The complete machine supplier authority can access all the state data of the corresponding complete machine; the major component supplier rights have access to all of the status data of its corresponding major component; the operation and maintenance provider rights can access all the state data of the service unit.
As shown in fig. 3:
the function authority management is divided into various function authorities which are respectively browsing authority, diagnosis and analysis authority, data import authority, unit management authority, parameter setting authority, command issuing authority, operation and maintenance management authority, self-service reporting authority, statistical analysis authority and the like.
The data access layer comprises data communication management, online data access and offline data access.
Data communication management: a customized interface communication program is developed aiming at main stream SCADA data and CMS data, a unified data communication standard protocol is established aiming at data of other brands, a data supplier develops a communication interface program according to the protocol requirement, the original communication program and the communication program developed later are managed in a unified way, and when the communication interface program is used, a corresponding manufacturer is selected to access the data;
online data access: and accessing data of a real-time online SCADA system and a CMS system, wherein the system is provided with an interface program compatible with a mainstream data communication protocol, and can be developed secondarily according to an actual communication protocol.
Offline data access: meanwhile, the webpage end can select to import offline data, the offline data format of the mainstream manufacturer can select a data source and then can automatically read, the system has a read interface program, and other data formats need to be manually sorted according to the requirements of the standard format and then select the data source to import data.
Data sources and unit information are required to be set at a webpage end before the data is imported, wherein the data sources and the unit information comprise owner information, wind power plant information, unit models, gear box structure information, generator models, main shaft bearing models, measuring point position information, rotating speed information and load information; and simultaneously clicking a parameter button to enter a sub-interface to input relevant parameters such as the types of bearings of all stages of the gear box, the number of gear teeth, the number of planet wheels, the type of a main shaft bearing, the type of a generator bearing and the number of pole pairs of a generator.
The data operation layer comprises a rotating speed management unit, a load management unit and a parameter management unit.
The online data can be monitored and analyzed in real time, a path tree can be established for the offline imported data, the path tree comprises an owner name, a wind power plant name, a fan number, a measuring point position, a measuring point direction and acquisition definitions, and tracking records of multiple offline data of one unit can be established conveniently; the online and offline data can be analyzed by consistent analysis means including setting of rotating speed and load information, trend analysis, time domain waveform analysis, amplitude spectrum analysis, power spectrum analysis, envelope spectrum analysis, order spectrum analysis, waterfall graph analysis and the like.
The rotation speed management unit manages state data according to different rotation speed intervals, the load management unit manages the state data according to different load intervals, the trend analysis can set the rotation speed intervals and the load intervals to perform data trend analysis, and each model call of the algorithm execution layer is associated with the rotation speed and the load; the parameter management unit manages the gear box and the bearing data, comprises the existing model gear box parameter management, can be directly called according to the gear box model selected by the data access layer, can also be stored and called after being manually added, and also comprises a common bearing database which stores the existing bearing model and characteristic frequency, can be directly called according to the bearing model selected by the data access layer, and can also be stored and called after being manually added.
The users in each level can execute the uploading and issuing operation of information in the data operation layer, the information issued by the authority in the previous level can inform the next level of authority to enter the system for checking through the reminding form of mails, telephones and short messages, and can continue to upload or issue corresponding information and instructions, and the users in each level can complete the monitoring of the state of the unit and the component and the processing of problems in the system.
The owner authority user can also establish a case discussion group on a data operation layer to track special problems, and information uploading and issuing can be comprehensively and quickly executed, so that the communication time between suppliers of different levels and the owner is greatly shortened, and the process of unit exception handling is accelerated.
The algorithm execution layer comprises a fault early warning unit, a fault diagnosis unit and a state evaluation unit.
The fault early warning unit needs to calculate various characteristic indexes, and the calculated indexes comprise time domain indexes: kurtosis factor, margin factor, form factor, skewness factor, RMS value, peak-to-peak value, frequency domain index: 5 relative frequency band energy, spectral peak stability coefficient, barycentric frequency, frequency standard deviation, gear characteristic frequency: the rotating frequency and the rotating frequency of each rotating shaft are doubled, tripled and 0.5 multiplied, the meshing frequency of each level is doubled, tripled and bearing characteristic frequency: roller pass frequency, cage pass frequency, inner ring pass frequency, outer ring pass frequency. And an early warning model base is established based on the indexes, and an appropriate early warning model can be automatically adapted according to the model and the structure type corresponding to the access data and the data integrity, so that the optimal early warning effect is achieved.
The fault diagnosis unit realizes fault location, the location precision is related with the integrity of state data and parameter information thereof, if aiming at the problem of gears, the information can be completely located to the gears of a specific shafting, such as a high-speed shaft, a planet wheel and the like, if the information is incomplete, the information can be located to the gear pairs, such as a planet wheel train, a high-intermediate-stage meshing gear pair and the like, if the information is incomplete, the information can be completely located to the specific bearing position, such as a main shaft bearing roller, a high-speed-stage motor side bearing inner ring and the like, and if the information is incomplete, the information can be located to the shafting, such as a high-speed-stage bearing, a planet-stage bearing, a generator bearing and the like.
The state evaluation unit divides the unit state into 5 levels, namely normal, early warning, alarming, high reporting and danger, based on the results of the fault early warning unit and the fault diagnosis unit and a built-in state evaluation model, the state evaluation process is shown in figure 4, and the color marking and operation and maintenance suggestion of each level are shown in figure 5.
The data management layer comprises a state management unit and an operation and maintenance management unit.
The state management unit classifies and manages the unit states according to 5 levels, and a spare part pre-inventory system is established in a comprehensive optimization mode according to the damage conditions of large parts and parts of various types of stations, regional companies and group companies which are subjected to statistical analysis.
The operation and maintenance management unit comprises personnel management, scheme management and tool management, and an intelligent operation and maintenance system is established in a comprehensive optimization mode according to the serious level of the unit state and the stock condition of spare parts. The method has the advantages that the serious fault unit is guaranteed to be replaced before parts are completely failed, major equipment accidents are avoided, the time for stopping and waiting is reduced, early damage is guaranteed to be properly processed, the degradation period is prolonged, the comprehensive utilization rate of the equipment is improved, the actual operation and maintenance processing result of the data management layer is further fed back to the algorithm execution layer, and the precision of the fault early warning model, the fault diagnosis model and the state evaluation model is continuously improved in an iterative mode.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. Wind generating set state evaluation and health management system, its characterized in that:
CMS and SCADA data of a plurality of wind generating sets of each wind power plant are transmitted to a wind power plant server through a data line or the Internet, and then are transmitted and stored on a cloud server through the Internet;
the cloud server deploys wind turbine state evaluation and health management system software;
the method comprises the following steps that an owner, a complete machine supplier, a large part supplier and an operation and maintenance supplier access CMS and SCADA data of a fan in a cloud server through the Internet and perform information interaction;
the wind generating set state evaluation and health management system comprises:
the system comprises a user management layer, a data access layer, a data operation layer, an algorithm execution layer and a data management layer;
the user management layer comprises an administrator system and a user authority management part;
the administrator system is the highest-authority user layer, can add and delete users with various levels and authorities, and can modify and define the authorities and authority contents of the users with various levels;
the user authority management comprises two parts of user access authority and function authority management;
the user access authority is divided into an owner authority and a supplier authority;
the supplier authority comprises a complete machine supplier authority, a large part supplier authority and an operation and maintenance supplier authority, and the supplier authority is added by the owner authority;
the data access layer comprises data communication management, online data access and offline data access;
data communication management: a customized interface communication program is developed aiming at main stream SCADA data and CMS data, a unified data communication standard protocol is established aiming at data of other brands, a data supplier develops a communication interface program according to the protocol requirement, the original communication program and the communication program developed later are managed in a unified way, and when the communication interface program is used, a corresponding manufacturer is selected to access the data;
online data access: accessing data of a real-time online SCADA system and a CMS system;
offline data access: selecting and importing offline data from a webpage end;
the data operation layer comprises a rotating speed management unit, a load management unit and a parameter management unit;
the data operation layer carries out real-time monitoring analysis on the online data, establishes a path tree for the offline imported data and establishes a tracking record of the multiple offline data of one unit; adopting a consistent analysis means aiming at the online data and the offline data;
the rotating speed management unit manages state data according to different rotating speed intervals; the load management unit manages state data according to different load intervals; the parameter management unit manages data of the gear box, the generator and the main shaft bearing;
the method comprises the following steps that users of all levels carry out information uploading and issuing operations on a data operation layer, information issued by the authority of the upper level informs the authority of the lower level to enter a system for checking through a mail, telephone and short message reminding mode, corresponding information and instructions are continuously uploaded or issued, and the users of all levels complete monitoring of the state of a unit and a component and processing of problems in the system;
a case discussion group is established by an owner authority user on a data operation layer, and a special problem is tracked;
the algorithm execution layer comprises a fault early warning unit, a fault diagnosis unit and a state evaluation unit;
the fault early warning unit calculates various characteristic indexes, establishes an early warning model base based on the indexes, and can automatically adapt to a proper early warning model according to the type and the structure type corresponding to the access data and the data integrity;
the fault diagnosis unit realizes fault positioning;
the state evaluation unit divides the unit state into a plurality of levels based on the results of the fault early warning unit and the fault diagnosis unit and a built-in state evaluation model;
the data management layer comprises a state management unit and an operation and maintenance management unit;
the state management unit classifies and manages the unit state according to a plurality of levels evaluated by the state evaluation unit, and a spare part pre-inventory system is established in a comprehensive optimization mode according to the damage conditions of large parts and parts of each machine type which are subjected to statistical analysis;
the operation and maintenance management unit comprises personnel management, scheme management and tool management, and an intelligent operation and maintenance system is established in a comprehensive optimization mode according to the serious level of the unit state and the stock condition of spare parts.
2. The wind generating set condition assessment and health management system of claim 1, wherein: the administrator system can re-edit the system bottom program and functional architecture and perform secondary development on all algorithm models covered by the algorithm execution layer.
3. The wind generating set condition assessment and health management system of claim 1, wherein: the owner authority is divided into a plurality of levels from high to low, the supplier authority is added by the low-level authority, and the corresponding authority can be formally opened after the confirmation of the high-level authority is obtained.
4. The wind turbine generator system state assessment and health management system of claim 2, wherein: the owner authority is divided into three levels, namely a first-level group level, a second-level regional company level and a third-level station level, the supplier authority is added by the third-level station level authority, and the corresponding authority can be officially opened after the second-level regional company level authority and the first-level group level authority are confirmed.
5. The wind generating set condition assessment and health management system of claim 1, wherein: the function authority management respectively comprises browsing authority, diagnosis and analysis authority, data import authority, unit management authority, parameter setting authority, command issuing authority, operation and maintenance management authority, self-service report authority and statistical analysis authority.
6. The wind generating set condition assessment and health management system of claim 1, wherein: the off-line data format of the mainstream manufacturer in off-line data access can be automatically read after selecting the data source, and other data formats are manually sorted according to the requirements of the standard format and then the data source is selected to import data.
7. The wind generating set condition assessment and health management system of claim 1, wherein: the path tree comprises an owner name, a wind power plant name, a fan number, a measuring point position, a measuring point direction and acquisition definition, and a tracking record of multiple off-line data of one unit is established.
8. The wind generating set condition assessment and health management system of claim 1, wherein: the indexes calculated by the fault early warning unit comprise time domain indexes: kurtosis factor, margin factor, form factor, skewness factor, RMS value, peak-to-peak value, frequency domain index: 5 relative frequency band energy, spectral peak stability coefficient, barycentric frequency, frequency standard deviation, gear characteristic frequency: the rotating frequency and the rotating frequency of each rotating shaft are doubled, tripled and 0.5 multiplied, the meshing frequency of each level is doubled, tripled and bearing characteristic frequency: roller pass frequency, cage pass frequency, inner ring pass frequency, outer ring pass frequency.
9. The wind generating set condition assessment and health management system of claim 1, wherein: the unit state is divided into 5 levels, namely normal, early warning, alarming, high reporting and danger.
10. The wind generating set condition assessment and health management system of claim 1, wherein: and the operation and maintenance management unit further feeds back the actual operation and maintenance processing result to the algorithm execution layer based on the actual operation and maintenance processing result of the data management layer, and continuously and iteratively improves the precision of the fault early warning model, the fault diagnosis model and the state evaluation model.
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| CN109611288A (en) * | 2018-12-29 | 2019-04-12 | 南京安维士传动技术股份有限公司 | A kind of wind-powered electricity generation operation platform based on big data |
| CN112253404A (en) * | 2020-11-17 | 2021-01-22 | 武汉大学 | Fan transmission chain intelligent operation and maintenance system based on multistage health assessment |
| CN112727702A (en) * | 2020-12-11 | 2021-04-30 | 中国大唐集团科学技术研究院有限公司火力发电技术研究院 | Health management and fault early warning method for wind turbine generator |
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