CN114924189A - Abnormal sound identification system of switched reluctance motor - Google Patents
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Abstract
The invention discloses an abnormal sound identification system of a switched reluctance motor, which belongs to the field of switched reluctance motors and is used for solving the problem of inaccurate abnormal identification of the switched reluctance motor, and comprises a model matching module, an abnormal sound identification module, a data analysis module and a force setting module, wherein the model matching module acquires standard operation data of the switched reluctance motor in a database according to the motor model and sends the standard operation data to the abnormal sound identification module, the data analysis module is used for analyzing operation record information of the switched reluctance motor to obtain a performance value of the switched reluctance motor, the force setting module is used for setting the identification force of the switched reluctance motor by combining the performance value to obtain the identification force grade of the switched reluctance motor, the abnormal sound identification module is used for identifying the abnormal sound condition of the switched reluctance motor to generate an abnormal operation signal or a normal operation signal, and the invention is applied to equipment, And accurately identifying abnormal sound of the switched reluctance motor under the comprehensive condition measurement of the factors.
Description
Technical Field
The invention belongs to the field of switched reluctance motors, relates to an abnormal sound identification technology, and particularly relates to an abnormal sound identification system of a switched reluctance motor.
Background
The switched reluctance motor is a new type speed regulating motor, it is a latest generation speed regulating system following the frequency conversion speed regulating system, brushless DC motor speed regulating system, the complete system mainly consists of motor entity, power converter, controller and position detector, the controller contains power converter and control circuit, and the rotor position detector is installed at one end of the motor, at present, the application and development of the switched reluctance motor make obvious progress, and it has been successfully applied in each field of electric vehicle drive, general industry, household appliances and textile machinery;
in the prior art, the switched reluctance motor is easy to generate abnormal sound in the operation process, but the conventional switched reluctance motor is mostly judged by artificial experience, deviation is easy to occur in artificial experience judgment, and meanwhile, the abnormal sound of the switched reluctance motor is not accurately identified by combining equipment, use and other factors;
therefore, the abnormal sound identification system of the switched reluctance motor is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a switched reluctance motor abnormal sound identification system, and the technical problems to be solved by the invention are as follows: the method is used for accurately identifying abnormal sound of the switched reluctance motor under comprehensive conditions of equipment, use and the like.
The purpose of the invention can be realized by the following technical scheme:
a switched reluctance motor abnormal sound identification system comprises a user terminal, a model matching module, a database, an abnormal sound identification module, a data analysis module, a force setting module, a data acquisition module and a server, wherein the user terminal is used for inputting the motor model of a switched reluctance motor and sending the motor model to the server; the database stores standard operating data of switched reluctance motors with different motor models, and the model matching module acquires the standard operating data of the switched reluctance motors in the database according to the motor models and sends the standard operating data to the abnormal sound identification module;
the data acquisition module is used for acquiring operation record information of the switched reluctance motor and sending the operation record information to the server, and the server sends the operation record information to the data analysis module;
the data analysis module is used for analyzing the operation record information of the switched reluctance motor, analyzing the operation record information to obtain a performance value of the switched reluctance motor and feeding the performance value back to the server, and the server sends the performance value of the switched reluctance motor to the force setting module;
the force setting module is used for setting the identification force of the switched reluctance motor by combining the performance value to obtain the identification force grade of the switched reluctance motor and feed the identification force grade back to the server, and the server sets corresponding identification parameters according to the identification force grade;
the data acquisition module is used for acquiring real-time operation data of the switched reluctance motor by combining the identification parameters and sending the real-time operation data to the server, and the server sends the real-time operation data to the abnormality identification module;
the abnormal sound identification module is used for identifying the abnormal sound condition of the switch reluctance motor and identifying and generating an abnormal operation signal or a normal operation signal.
Further, the standard operation data are a standard amplitude diagram and an abnormal noise threshold value of the switched reluctance motor;
the operation record information comprises the failure times of the switched reluctance motor, the failure time of each failure, the maintenance times and the factory time;
the real-time operation data is a real-time amplitude diagram of the switched reluctance motor under different identification times.
Further, the analysis process of the data analysis module is specifically as follows:
acquiring the failure times, failure interval time, factory time and maintenance times of the switched reluctance motor;
and calculating the performance value of the switched reluctance motor.
Further, the setting process of the force setting module is specifically as follows:
acquiring a performance value of the switched reluctance motor;
and comparing the performance value with the performance threshold value to obtain the identification strength grade of the switched reluctance motor.
Further, the identification strength grade of the switched reluctance motor comprises a third identification grade, a second identification grade and a first identification grade.
Further, the process of identifying the parameters specifically includes:
if the first identification level is reached, setting a first identification frequency;
if the second identification level is reached, setting a second identification frequency;
if the third recognition level is reached, a third recognition frequency is set.
Further, the first identification frequency is greater than the second identification frequency, and the second identification frequency is greater than the third identification frequency.
Further, the identification process of the abnormal sound identification module is specifically as follows:
acquiring real-time amplitude diagrams of the switched reluctance motor under different identification times;
acquiring a standard amplitude diagram of the switched reluctance motor, and comparing the real-time amplitude diagram with the standard amplitude diagram under different identification times;
obtaining the crossing number and the crossing area of the real-time amplitude diagram and the standard amplitude diagram under different identification times;
calculating abnormal sound abnormal values of the real-time amplitude diagram under different identification times, and adding and summing the abnormal sound abnormal values of the real-time amplitude diagram under different identification times to divide the abnormal sound abnormal values by the identification times to obtain the abnormal sound abnormal values of the switched reluctance motor;
comparing the abnormal noise value with the abnormal noise threshold value to generate an abnormal operation signal or a normal operation signal;
and the abnormal sound identification module feeds back the abnormal operation signal or the normal operation signal to the server.
Further, if the server receives a normal operation signal, no operation is performed;
and if the server receives the operation abnormal signal, generating an abnormal instruction and sending the abnormal instruction to the user terminal, and the user terminal worker receives the abnormal instruction to perform shutdown operation on the switched reluctance motor.
Compared with the prior art, the invention has the beneficial effects that:
the invention inputs the motor model of the switched reluctance motor through a user terminal, obtains the standard operation data of the switched reluctance motor in a database by utilizing a model matching module according to the motor model and sends the standard operation data to an abnormal sound identification module, analyzes the operation record information of the switched reluctance motor by a data analysis module before identification to obtain a performance value of the switched reluctance motor and sends the performance value to a force setting module, the force setting module sets the identification force of the switched reluctance motor by combining the performance value to obtain the identification force grade of the switched reluctance motor, and the abnormal sound identification module identifies the abnormal sound condition of the switched reluctance motor based on the identification force grade to generate an abnormal operation signal or a normal operation signal.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, a switched reluctance motor abnormal sound identification system includes a user terminal, a model matching module, a database, an abnormal sound identification module, a data analysis module, a force setting module, a data acquisition module, and a server;
the user terminal is used for registering the login system after the staff inputs the personal information and sending the personal information to the server for storage;
the personal information comprises the name of a worker, the mobile phone number of real-name authentication, a work number and the like;
after the registration login is successful, the user terminal is used for inputting the motor model of the switched reluctance motor and sending the motor model to the server, and the server sends the motor model to the model matching module;
the model matching module is connected with a database, the database stores standard operation data of switched reluctance motors with different motor models, and the model matching module acquires the standard operation data of the switched reluctance motors in the database according to the motor models and sends the standard operation data to the abnormal sound identification module;
specifically, the standard operation data is a standard amplitude diagram and an abnormal noise threshold of the switched reluctance motor;
the data acquisition module is used for acquiring operation record information of the switched reluctance motor and sending the operation record information to the server, and the server sends the operation record information to the data analysis module;
specifically, the operation record information includes the failure times of the switched reluctance motor, and failure time, maintenance times, delivery time, and the like of each failure;
the data analysis module is used for analyzing the operation record information of the switched reluctance motor, and the analysis process specifically comprises the following steps:
the method comprises the following steps: labeling a switched reluctance motor as u, u =1, 2, … …, z, z being a positive integer; acquiring the failure times of the switched reluctance motor, and marking the failure times as GCu;
step two: acquiring the fault time of each fault of the switched reluctance motor, calculating the fault interval duration of adjacent fault times, and adding and summing the fault interval durations of the adjacent fault times and dividing the sum by the fault times to obtain the GJTu of the fault interval mean time of the switched reluctance motor;
step three: obtaining the factory leaving time of the switched reluctance motor, and subtracting the factory leaving time from the current time of the server to obtain the factory leaving time CTu of the switched reluctance motor;
step four: obtaining maintenance times of the switched reluctance motor, and marking the maintenance times as WCu;
step five: by the formula
Calculating to obtain a performance value XNu of the switched reluctance motor; in the formula, a1 is a proportionality coefficient with a fixed numerical value, and the values of a1 are all larger than zero;
the data analysis module feeds back the performance value XNu of the switched reluctance motor to the server, and the server sends the performance value XNu of the switched reluctance motor to the force setting module;
the force setting module is used for setting the identification force of the switched reluctance motor by combining the performance value, and the setting process is as follows:
step S1: obtaining XNu performance value of the switched reluctance motor obtained by the calculation;
step S2: if XNu is less than X1, the identification strength grade of the switched reluctance motor is a third identification grade;
step S3: if X1 is not less than XNu and is more than X2, the identification strength grade of the switched reluctance motor is a second identification grade;
step S4: if the X2 is not more than XNu, the identification strength grade of the switched reluctance motor is a first identification grade; wherein X1 and X2 are both performance thresholds of fixed values, and X1 is less than X2;
the power setting module feeds back the identification power grade of the switched reluctance motor to the server, and the server sets corresponding identification parameters according to the identification power grade, specifically:
if the first identification level is reached, setting a first identification frequency;
if the second identification level is reached, setting a second identification frequency;
if the third identification level is reached, setting a third identification frequency;
understandably, the first identification times are larger than the second identification times, and the second identification times are larger than the third identification times;
the data acquisition module is used for acquiring real-time operation data of the switched reluctance motor by combining the identification parameters and sending the real-time operation data to the server, and the server sends the real-time operation data to the abnormity identification module;
specifically, the real-time operation data is a real-time amplitude diagram of the switched reluctance motor under different identification times;
the abnormal sound identification module is used for identifying the abnormal sound condition of the switched reluctance motor, and the identification process specifically comprises the following steps:
step SS 1: acquiring real-time amplitude graphs of the switched reluctance motor under different identification times, and recording the real-time amplitude graphs as STui, i =1, 2, … …, x and x are positive integers, wherein i represents the number of the identification times;
step SS 2: acquiring a standard amplitude diagram of the switched reluctance motor, and comparing the real-time amplitude diagram with the standard amplitude diagram under different identification times;
step SS 3: acquiring the crossing number of the real-time amplitude diagram and the standard amplitude diagram under different identification times, and marking the crossing number as JC STui ；
Step SS 4: acquiring intersection areas of the real-time amplitude diagram and the standard amplitude diagram under different identification times, and counting the area of the intersection areas to obtain the intersection area JM of the real-time amplitude diagram and the standard amplitude diagram under different identification times STui ；
Step SS 5: by formula YC STui =JC STui ×α+JM STui Obtaining abnormal sound abnormal value YC of the real-time amplitude diagram under different identification times by calculating x beta STui (ii) a In the formula, both alpha and beta are weight coefficients with fixed numerical values, and the values of both alpha and beta are greater than zero;
step SS 6: adding and summing abnormal sound abnormal values of the real-time amplitude diagram under different identification times, and dividing the sum by the identification times to obtain an abnormal sound abnormal value YCu of the switched reluctance motor;
step SS 7: comparing the abnormal noise value with an abnormal noise threshold value;
if the abnormal sound value is larger than or equal to the abnormal sound threshold value, generating an abnormal operation signal;
if the abnormal sound value is smaller than the abnormal sound threshold value, generating a normal operation signal;
the abnormal sound identification module feeds back the abnormal operation signal or the normal operation signal to the server;
if the server receives a normal operation signal, no operation is performed;
and if the server receives the operation abnormal signal, generating an abnormal instruction and sending the abnormal instruction to the user terminal, and the user terminal worker receives the abnormal instruction to perform shutdown operation on the switched reluctance motor.
Specifically, the complete optimization process of the invention comprises the following steps: when the switched reluctance motor monitoring system works, a user terminal inputs a motor model of the switched reluctance motor and sends the motor model to a server, the server sends the motor model to a model matching module, the model matching module acquires standard operation data of the switched reluctance motor in a database according to the motor model and sends the standard operation data to an abnormal sound identification module, a data acquisition module acquires operation record information of the switched reluctance motor and sends the operation record information to the server, and the server sends the operation record information to a data analysis module;
analyzing the operation record information of the switched reluctance motor through a data analysis module, acquiring the failure times, failure interval time, factory-leaving time and maintenance times of the switched reluctance motor, calculating through a formula to obtain a performance value of the switched reluctance motor, feeding the performance value of the switched reluctance motor back to a server through the data analysis module, and sending the performance value of the switched reluctance motor to a force setting module through the server;
the force setting module is used for setting the identification force of the switched reluctance motor by combining the performance value to obtain the performance value of the switched reluctance motor, the performance value is compared with a performance threshold value to obtain the identification force of the switched reluctance motor, the force setting module feeds back the identification force grade of the switched reluctance motor to the server, the server sets corresponding identification parameters according to the identification force grade, if the identification force grade is the first identification frequency, if the identification force grade is the second identification frequency, the second identification frequency is set, and if the identification force grade is the third identification frequency, the server sets corresponding identification parameters;
the data acquisition module is combined with the identification parameters to acquire real-time operation data of the switched reluctance motor and send the real-time operation data to the server, and the server sends the real-time operation data to the abnormity identification module;
the abnormal noise identification module is used for identifying the abnormal noise condition of the switched reluctance motor, acquiring the real-time amplitude diagram of the switched reluctance motor under different identification times, then acquiring the standard amplitude diagram of the switched reluctance motor, comparing the real-time amplitude diagram under different identification times with the standard amplitude diagram, acquiring the crossing number and the crossing area of the real-time amplitude diagram and the standard amplitude diagram under different identification times, calculating the abnormal noise abnormal value of the real-time amplitude diagram under different identification times through a formula, adding and summing the abnormal noise abnormal values of the real-time amplitude diagram under different identification times to divide the identification times to obtain the abnormal noise abnormal value of the switched reluctance motor, comparing the abnormal noise abnormal value with the abnormal noise abnormal threshold, if the abnormal noise abnormal value is more than or equal to the abnormal noise abnormal threshold, generating an abnormal operation signal, if the abnormal noise abnormal value is less than the abnormal noise threshold, generating a normal operation signal, the abnormal sound identification module feeds back the abnormal operation signal or the normal operation signal to the server, if the server receives the normal operation signal, no operation is performed, if the server receives the abnormal operation signal, an abnormal instruction is generated and sent to the user terminal, and a worker at the user terminal receives the abnormal instruction to perform shutdown operation on the switched reluctance motor.
Example two
Based on another concept of the same invention, a working method of the switched reluctance motor abnormal sound identification system is provided, which specifically comprises the following steps:
step S101, a user terminal inputs a motor model of a switched reluctance motor and sends the motor model to a server, the server sends the motor model to a model matching module, the model matching module obtains standard operation data of the switched reluctance motor in a database according to the motor model and sends the standard operation data to an abnormal sound identification module, a data acquisition module acquires operation record information of the switched reluctance motor and sends the operation record information to the server, and the server sends the operation record information to a data analysis module;
step S102, analyzing the operation record information of the switched reluctance motor through the data analysis module, marking the switched reluctance motor as u, acquiring the fault times GCu, the fault interval time GJTu, the factory leaving time CTu and the maintenance times WCu of the switched reluctance motor, and obtaining the fault times GCu, the fault interval time GJTu, the factory leaving time CTu and the maintenance times WCu of the switched reluctance motor through a formula
The performance value XNu of the switched reluctance motor is obtained through calculation, the data analysis module feeds back the performance value XNu of the switched reluctance motor to the server, and the server sends the performance value XNu of the switched reluctance motor to the force setting module;
step S103, setting the identification strength of the switched reluctance motor by the strength setting module in combination with the performance value to obtain a performance value XNu of the switched reluctance motor, wherein if XNu is less than X1, the identification strength grade of the switched reluctance motor is a third identification grade, if X1 is less than or equal to XNu and less than X2, the identification strength grade of the switched reluctance motor is a second identification grade, if X2 is less than or equal to XNu, the identification strength grade of the switched reluctance motor is a first identification grade, feeding the identification strength grade of the switched reluctance motor back to the server by the strength setting module, setting corresponding identification parameters by the server according to the identification strength grade, if the first identification grade, setting the first identification frequency, if the second identification grade, setting the second identification frequency, and if the third identification grade, setting the third identification frequency;
step S104, collecting real-time operation data of the switched reluctance motor by the data collection module in combination with the identification parameters and sending the real-time operation data to the server, and sending the real-time operation data to the abnormity identification module by the server;
step S105, identifying the abnormal sound condition of the switched reluctance motor through the abnormal sound identification module, acquiring the real-time amplitude diagram STui of the switched reluctance motor under different identification times, then acquiring the standard amplitude diagram of the switched reluctance motor, comparing the real-time amplitude diagram under different identification times with the standard amplitude diagram, and acquiring the crossing number JC of the real-time amplitude diagram and the standard amplitude diagram under different identification times STui And intersection area JM STui By the formula YC STui =JC STui ×α+JM STui Calculating the x beta to obtain abnormal sound abnormal value YC of the real-time amplitude diagram under different identification times STui The abnormal noise values of the real-time amplitude diagram under different identification times are added, summed and divided by the identification times to obtain an abnormal noise value YCu of the switched reluctance motor, the abnormal noise value is compared with an abnormal noise threshold, if the abnormal noise value is larger than or equal to the abnormal noise threshold, an abnormal operation signal is generated, if the abnormal noise value is smaller than the abnormal noise threshold, a normal operation signal is generated, the abnormal noise identification module feeds the abnormal operation signal or the normal operation signal back to the server, if the server receives the normal operation signal, no operation is performed, if the server receives the abnormal operation signal, an abnormal instruction is generated and sent to a user terminal, and a worker at the user terminal receives the abnormal instruction to perform shutdown operation on the switched reluctance motor.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula of the latest real situation obtained by collecting a large amount of data and performing software simulation, the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, the weight coefficient and the scale coefficient are specific numerical values obtained by quantizing each parameter, and the subsequent comparison is convenient.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. A switched reluctance motor abnormal sound identification system is characterized by comprising a user terminal, a model matching module, a database, an abnormal sound identification module, a data analysis module, a force setting module, a data acquisition module and a server, wherein the user terminal is used for inputting the motor model of a switched reluctance motor and sending the motor model to the server, and the server sends the motor model to the model matching module; the database stores standard operating data of switched reluctance motors with different motor models, and the model matching module acquires the standard operating data of the switched reluctance motors in the database according to the motor models and sends the standard operating data to the abnormal sound identification module;
the data acquisition module is used for acquiring operation record information of the switched reluctance motor and sending the operation record information to the server, and the server sends the operation record information to the data analysis module;
the data analysis module is used for analyzing the operation record information of the switched reluctance motor, analyzing the operation record information to obtain a performance value of the switched reluctance motor and feeding the performance value back to the server, and the server sends the performance value of the switched reluctance motor to the force setting module;
the force setting module is used for setting the identification force of the switched reluctance motor by combining the performance value to obtain the identification force grade of the switched reluctance motor and feed the identification force grade back to the server, and the server sets corresponding identification parameters according to the identification force grade;
the data acquisition module is used for acquiring real-time operation data of the switched reluctance motor in combination with the identification parameters and sending the real-time operation data to the server, and the server sends the real-time operation data to the abnormity identification module;
the abnormal sound identification module is used for identifying the abnormal sound condition of the switch reluctance motor and identifying and generating an abnormal operation signal or a normal operation signal.
2. The system for identifying abnormal noise of the switched reluctance motor according to claim 1, wherein the standard operation data are a standard amplitude diagram and an abnormal noise threshold of the switched reluctance motor;
the operation record information comprises the failure times of the switched reluctance motor, and the failure time, the maintenance times and the delivery time of each failure;
the real-time operation data is a real-time amplitude diagram of the switched reluctance motor under different identification times.
3. The system for identifying abnormal noise of the switched reluctance motor according to claim 1, wherein the analysis process of the data analysis module is as follows:
acquiring the failure times, failure interval time, delivery time and maintenance times of the switched reluctance motor;
and calculating the performance value of the switched reluctance motor.
4. The system for identifying abnormal noise of the switched reluctance motor according to claim 1, wherein the setting process of the force setting module is as follows:
acquiring a performance value of the switched reluctance motor;
and comparing the performance value with the performance threshold value to obtain the identification strength grade of the switched reluctance motor.
5. The system of claim 4, wherein the recognition level of the switched reluctance motor comprises a third recognition level, a second recognition level and a first recognition level.
6. The system for identifying the abnormal noise of the switched reluctance motor according to claim 5, wherein the process of identifying the parameters specifically comprises:
if the first identification level is reached, setting a first identification frequency;
if the second identification level, setting a second identification frequency;
if the third recognition level is reached, a third recognition frequency is set.
7. The system for identifying the abnormal noise of the switched reluctance motor as claimed in claim 6, wherein the first identification number is greater than the second identification number, and the second identification number is greater than the third identification number.
8. The system for identifying the abnormal sound of the switched reluctance motor according to claim 1, wherein the identification process of the abnormal sound identification module is as follows:
acquiring real-time amplitude diagrams of the switched reluctance motor under different identification times;
acquiring a standard amplitude diagram of the switched reluctance motor, and comparing the real-time amplitude diagram with the standard amplitude diagram under different identification times;
obtaining the crossing number and the crossing area of the real-time amplitude diagram and the standard amplitude diagram under different identification times;
calculating abnormal sound abnormal values of the real-time amplitude diagram under different identification times, and adding, summing and dividing the abnormal sound abnormal values of the real-time amplitude diagram under different identification times by the identification times to obtain the abnormal sound abnormal values of the switched reluctance motor;
comparing the abnormal noise value with the abnormal noise threshold value to generate an abnormal operation signal or a normal operation signal;
and the abnormal sound identification module feeds back the abnormal operation signal or the normal operation signal to the server.
9. The abnormal sound identification system for the switched reluctance motor according to claim 8, wherein if the server receives a normal operation signal, no operation is performed;
and if the server receives the operation abnormal signal, generating an abnormal instruction and sending the abnormal instruction to the user terminal, and the user terminal worker receives the abnormal instruction to perform shutdown operation on the switched reluctance motor.
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| CN110823384A (en) * | 2020-01-09 | 2020-02-21 | 成都智创利源科技有限公司 | Switched reluctance motor detection system and control method |
| CN215817779U (en) * | 2021-07-29 | 2022-02-11 | 胜利油田华滨福利机电有限责任公司 | Semi-direct-drive low-speed large-torque switched reluctance motor for oil beam machine |
| CN216981817U (en) * | 2022-04-02 | 2022-07-15 | 成都署信科技有限公司 | Control panel of switch reluctance motor |
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2022
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| JPH10271885A (en) * | 1997-03-21 | 1998-10-09 | Nippon Electric Ind Co Ltd | Abnormal-operation inhibiting method of switched-reluctance motor |
| CN204203431U (en) * | 2014-11-19 | 2015-03-11 | 哈尔滨理工大学 | Switched Reluctance Motor pick-up unit |
| CN109995304A (en) * | 2017-12-29 | 2019-07-09 | 东南大学 | A method of switched reluctance machines noise is reduced based on PWM carrier frequency is adjusted |
| CN110823384A (en) * | 2020-01-09 | 2020-02-21 | 成都智创利源科技有限公司 | Switched reluctance motor detection system and control method |
| CN215817779U (en) * | 2021-07-29 | 2022-02-11 | 胜利油田华滨福利机电有限责任公司 | Semi-direct-drive low-speed large-torque switched reluctance motor for oil beam machine |
| CN216981817U (en) * | 2022-04-02 | 2022-07-15 | 成都署信科技有限公司 | Control panel of switch reluctance motor |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115237079A (en) * | 2022-09-15 | 2022-10-25 | 双阳化工淮安有限公司 | Intelligent control system and control method for equipment for chemical production |
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| CN114924189B (en) | 2022-10-11 |
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