Research of Motor Fault Diagnosis by Detecting Dynamic Model Parameters.pdf

Applied Mechanics and Materials Vols. 44-47 (2011) pp 3716-3720 Online available since 2010/Dec/06 at © (2011) Trans Tech Publications, Switzerland doi:10.4028//AMM.44-47.3716 Research of Motor Fault Diagnosis by Detecting Dynamic Model Parameters Jianxiong Long College of Applied Science Technology, Beijing Union University, Beijing 1022 , China longjianxiong19@ Keywords: Motor Dynamic Model, System Model Identification, Motor Model Detection Equation, Motor Fault Diagnosis Abstract. A diagnosis ellipsoid equation is put forward in order to solve motor fault on-line diagnosis. It is first to estimate the motor dynamic model parameters by the on-line least squares estimation, then to detect the parameters changes in the system model, and last to identify t the parts of the system failure occurred and factors. Through a practical example of the application to diagnose a motor fault, the motor fault can be detected according to the parameter changes of the motor model, and the failure factors can be diagnosed by using the diagnosis equation. It is proved feasible and effective. Introduction To ensure safe and reliable operation of the motor equipments, the equipments are required to be monitored real-time, so that when the fault occurs, we can detect and deal with them, this is the fault detection and diagnosis. The working state of the equipments can be analyzed through with to estimate the measurable and immeasurable information, and the normal and abnormal working state can be identified, and the location of the fault can be determined, the effective working life can be predicted through with the system work