Application of electric motor fault diagnosis technology analysis paper
Whether in the study or in the work, we must have come into contact with the dissertation, the dissertation generally consists of title, author, abstract, keywords, body, references and appendices and other parts. I believe that writing a dissertation is a headache for many people, the following is my collection of the application of motor fault diagnosis technology analysis paper, welcome to read and collect.
Abstract:
Currently, the installation of electric motors in large-scale mechanical equipment is very common, is a means to assist the production function of mechanical equipment, however, the electric motor in the long term uninterrupted work, in the process of converting electrical energy into mechanical energy caused by the continuous rise in temperature, motor performance is reduced, the efficiency of work is low However, in the process of converting electric energy into mechanical energy, the motor temperature continues to rise, the motor performance decreases, the working efficiency is low, and the motor malfunctions, so the rapid development of fault diagnosis technology is the key to extend the service life of the motor. This paper is based on the realistic point of view, for the current stage of the motor is prone to failure types, maintenance management in the application of fault diagnosis technology how to apply the analysis. Hope that through this study, to explore the application of fault diagnosis technology in motor maintenance management, so as to have a deeper understanding of the relevant professional knowledge.
Keywords:
Fault diagnosis technology, electric motor, maintenance management, technology
Introduction:
The emergence of electric motors can be traced back to the beginning of the last century, along with the rapid development of the second industrial revolution, electric motors play a huge role. With the rapid progress of science and technology, production technology in China, electric motors play a huge role in manufacturing, industry and agriculture. However, prolonged use of electric motors through the high frequency of construction machinery can easily cause motor failure. Therefore, the fault diagnosis technology is also born, the current motor failure mainly includes four types, but how to carry out fault diagnosis, so as to prescribe the right medicine, is the current experts, scholars and technicians *** with the importance of the problem, but also need to continue to study the subject.
1, motor failure type analysis
1.1 rotor failure
Rotor failure is mainly due to the motor in the process of long-term operation, due to the rotor in the long term in the mechanical braking of the high frequency, so it is easy to exist rotor failure. Motor rotor also includes two plates: locating bearings, non-locating bearings. Locating bearings are mainly responsible for bearing the load strength of the rotor in the process of high-speed operation. In the process of motor operation in order to avoid other external forces caused by damage to the motor, also need to install non-locating bearings.
Therefore, locating bearings and non-locating bearings may be due to the motor suffered a variety of forces caused by damage or destruction of the situation, ultimately leading to motor rotor failure, this failure is one of the common motor failure, but also the motor can not be sustained operation of the key factors, and ultimately the formation of broken bars.
1.2 Stator failure
Stator failure is largely due to the motor's external insulator is damaged; there is also a possibility that the motor in the process of using the turn-to-turn short-circuit failure. Once there is a turn-to-turn short circuit, the turn-to-turn insulation needs to bear the transient overvoltage. This situation is largely due to the motor is in a poor environment for a long time, and hold high-speed operation, resulting in short-circuit failure, insulation deformation, insulation damage in the case of stator failure.
Stator failure is also very common, maintenance personnel can use troubleshooting techniques to explore the use of the motor, the expected future service life of the motor. Stator failures also indicate problems with the performance of the motor's components and wiring.
1.3 Air Gap Eccentricity Failure
Air gap eccentricity failure occurs due to the motor in the assembly process to produce parts, wiring deviation. This failure is generally due to assembly problems, assembly personnel professional quality.
Another reason for the occurrence of air gap eccentricity failure is the long-term operation of the motor, in the process of constant vibration and high-frequency use of the motor caused by the loosening of parts and components, bearing failures, or because of the stator core inner diameter of the ellipticity is not in line with the long-term operation of the motor indicators, resulting in the air gap eccentricity failure. Once this kind of failure occurs, it is easy to produce a chain effect, resulting in the motor not being able to operate normally, which ultimately leads to a gap between the stator and rotor. When the motor can not operate normally, it naturally causes difficulties for the use of construction machinery.
1.4 Bearing failure
The cause of bearing failure is similar to the air gap eccentricity failure, also due to the loosening of parts and components in the process of long-term operation, the gap after the problem. Because the bearings bear the multiple forces of motor operation, so in the actual operation of the process is prone to temperature rise. When the temperature continues to rise, the radial rod of the bearing is affected by the heat and generates an expansion force, which causes the bearing to loosen. The bearing of the motor is affected by the gravity of the rotor, which will inevitably lead to wear and tear on the surface of the radial rod of the bearing due to prolonged rotation. Coupled with the mechanical friction between the bearing rings and the shaft surface during long-term rotation, this ultimately leads to heat inside the motor, which ultimately damages the bearings and prevents the motor from operating normally and continuously.
2, motor fault diagnosis technology application analysis
2.1 Neural network diagnosis
Neural network diagnosis is a diagnostic method that is currently used more. Neural network diagnosis is to mimic the neuron structure of the human brain, the inside of the motor as a brain structure, so as to establish a nonlinear dynamics network system, and ultimately the integrated scanning and processing by individual units, highly parallel.
Through the ability of the Internet mathematical simulation, the fault diagnosis work of the electric motor. Neural network diagnostic methods are different from traditional computer diagnostic methods. It is only necessary to prepare the appropriate program through the software, based on the software preparation task, highly implement the diagnostic instructions, perceive and process the parameters of the various components within the motor, specific data, and compare the fault before the . The parameters of the various parts of the motor, so as to scan the sample of highly faulty parts.
With this method, it is possible to perceive the internal faults of the motor more strongly, to determine whether it is a stator fault or a rotor fault, and to determine what areas of the parts are loose and worn. Therefore, it can be seen that the neural network diagnosis is mainly to master the internal parameters of the motor in advance, and finally realize the operation, comparison, scanning work to confirm the diagnosis.
2.2 Expert system diagnosis
Expert system fault diagnosis and neural network diagnosis have similarities, the former is to rely on the Internet digital technology, while the expert system diagnosis is to rely on artificial intelligence technology. The technology is a synthesis of the motor troubleshooting related experts' opinions, and combined with intelligent technology to detect the motor parameters, and ultimately make a comprehensive judgment.
In the use of expert system diagnosis, engineers need to establish a diagnostic model according to their own knowledge to diagnose the motor fault diagnosis through the model comparison, one by one way of checking. This method is currently a relatively new detection technology, in the establishment of the model, and expert system diagnosis in the process of combining, can correspond to solve the problem, targeted to extend the service life of the motor, and the accuracy of the comprehensive judgment is very high, in the rapid detection of the realization of the comprehensive investigation work, but also to have a more systematic diagnostic report on the motor to help the relevant personnel to understand and determine the status of the motor, the future service life is expected to be.
This is the first time that a motor has been used in a computer.
2.3 Signal Processing Diagnostics
Signal processing diagnostic technology is aimed at motor faults issued signals, commands to determine the fault situation. In addition to some advanced motor machinery and equipment, some companies will be installed in the motor insulation equipment for diagnosis of signal processing devices, through the installation of such devices, can fully correspond to the information processing requirements. And maintenance personnel, engineers, according to the signal processing diagnostic technology, the motor issued by the signal time domain, time-frequency to analyze (analysis of the content of the signal time domain, frequency domain, frequency components of the changes in the signal non-stationary time-varying function of the signal to determine), so that the relevant equipment issued by the failure of the calculations, parameter comparisons, the way the signal processing.
2.4 Hybrid diagnostic methods
Hybrid diagnostic methods are also common fault diagnostic techniques, is a combination of the previous emergency-type fault diagnostic methods (the method needs to be comprehensive quality of engineers, maintenance workers to carry out, combined with instrumentation testing to comprehensively determine the cause of the motor failure, but due to the naked eye detection and subjective judgment detection, so the accuracy rate is not high) on the basis of. Combined with the motor maintenance management, the implementation of regular maintenance, management work, to further access to the motor internal stator, rotor, the data parameters of the various components, so as to avoid once the failure will appear obvious data errors, not conducive to the judgment of the key areas of damage. Currently, this fault diagnosis technology with the Internet technology, digital technology, and gradually towards intelligent, convenient maintenance personnel real-time parameter comparisons, easy to predict the state of the motor, the development of faulty maintenance programs.
3, conclusion
This paper mainly analyzes the application of fault diagnostic technology in motor maintenance management, for the current motor failure types of systematic analysis and discussion, and for the fault diagnostic technology for the specific application of the respective detailed discussion, I hope that through the analysis of this paper, can be related to professional knowledge have a deeper understanding. I hope that through the analysis of this paper, we can have a deeper understanding of the relevant professional knowledge. Motor is an important part of the operation of construction machinery, so understand the basis of fault diagnosis technology, can have a certain role in guiding the relevant professional research.
References
[1]Liu Yingchun. Discussion on the use of fault diagnosis technology in the maintenance of coal mine electromechanical equipment[J]. Modern Industrial Economy and Informatization, 2019,9(02):111-113.
[2]Wang Zhenlin. "The application of microclass in task-driven teaching method in the practical training teaching of "motor fault diagnosis"[J]. Science and Technology Innovation Herald, 2018,15(31):144,146.
[3]Sun Huiying, Lin Zhongpeng, Liu Yinli, Li Meng. Research on motor fault diagnosis of RBF neural network based on the optimization of random wandering bee colony algorithm[J]. Hydropower Energy Science, 2017,35(08):165-168.
;