A experiment study of rolling bearing fault diagnosis based on sensorless detection method

作者：Shi Xianjiang; Gong Xiufang; Guo Hua; Si Junshan

来源：Key Engineering Materials, 2014, 579-580: 434-438.

DOI：10.4028/www.scientific.net/KEM.579-580.434

• Experiment platforms
• Experimental analysis
• Fault diagnosis method
• Motor current signature analysis
• Motor currents
• Power transmission systems
• Rolling bearings
• Sensorless

This paper studied the motor current signature analysis also called sensorless detection. It used to distinguish the feasibility of the motor drive system for rolling bearing fault diagnosis. This method used in fault diagnosis methods of wind power transmission system provides a certain amount of basic research, overcome conventional vibration monitoring high cost and installation of the inconvenience and other shortcomings. A special experiment platform was designed, comparison analyzed the typical current and vibration signal of fault bearing by using signal processing method such as Hilbert transform. A large number of experimental analysis results show that the rolling bearing fault current signal characteristics and the expected failure frequency is roughly the same and basically agrees well with the vibration test results. These prove the feasibility and accuracy of sensorless detection.

• 出版日期2014