Design and Implementation of Intelligent Diagnosis System for Motor Rotary Faults

• Main Authors: Zhi-Hao Wang, 王智豪
• Other Authors: 曾傳蘆
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/4685ay

碩士 === 國立臺北科技大學 === 電機工程系所 === 95 === This thesis proposes an integrated diagnosis system for motors in workplace. The front-end sensing modules are mounted on certain place of motor and the measured signals are transmitted by way of wireless network or internet to the back-end diagnosis system. Because the measured signal contains the high-frequency noise, in thesis, the adaptive filter is used to filter out the noise. Consequently, the designed diagnosis system can perform the better classification results and improve the speed of classification. The proposed diagnosis system is composed of the motor vibration signal generator, motor vibration database, adaptive filter and intelligent fault diagnosis function modules. When the motor operates and rotary fault occurs, special patterns of characteristic frequencies may appear at double or triple, even several times of fundamental frequency. Because different faults generate different frequency characteristics, this research utilizes this fact to develop a motor vibration signal generator, of which the output signal simulates the vibration signal as motor operates. This generator can be used to train the neural-network based diagnosis system. The database stores the motor vibration signals measured in the factory or workplace. These signals facilitate the follow-up analysis. The adaptive filter equipped with learning capability can automatically adjust the filter gain according the noise characteristics. The filtered signals are taken as the input of the trained fault diagnosis system to classify the fault pattern. In addition, this integrated system offers suitable man-machine interfaces which provide the spectrum display window. From the display, the engineer can easily extract the useful information of motor operation and find the frequency pattern during the operation. Finally, this thesis utilizes the MATLAB software to establish the motor diagnosis system. The signals stored in motor vibration database are obtained by measuring the motors of cooling water systems of Taipei Tri-Service General Hospital, Taipei Mackery Memorial Hospital, and the Xinyi district office of Taipei city government. From the results of simulation and implementation, it is seen that the proposed structure of motor diagnosis system is feasible and practicable.