Fan vibration sensor fault diagnosis system and method

• Main Authors: XUE YINGCHUN, CUI QIULI, WANG LILI, ZHONG ZHENZHEN, ZHANG GUANGJU, XU YUELAN, MAO YANG, SONG DONGPING, WANG WENQI, HUANG JING
• Format: Patent
• Language: Chinese; English
• Published: 02.08.2019
• Subjects: MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES; MEASURING; PHYSICS; TESTING

The invention provides a fan vibration sensor fault diagnosis system and method. The system comprises a sensor, a processor and an upper computer, which are in communication connection. The sensor isused for collecting output data of a fan and selecting feature signals from the output data, wherein the feature signals comprise pneumatic torque, output power of an electric generator, low-speed shaft speed and high-speed shaft speed; the processor is used for carrying out normalization processing on the feature signals to obtain normalized feature data; and the upper computer is used for carrying out analysis on the normalized feature data through an established target neural network model, and outputting fault type corresponding to a vibration sensor of the fan, wherein the target neural network model is a BP neural network obtained by training training sample data, the training sample data comprising the feature data and fault tag corresponding to the feature data. The system and method can effectively improv