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Condition monitoring and predictive maintenance play a key role in the maintenance of an electrical machine. In this study, to monitor the condition of the induction machine, torque is predicted from the acquired acoustic signals. The acoustic signals collected from different locations of an induction motor are analysed using dyadic wavelet transform for various load conditions. The predicted torque...
Abstract: Quick assessment of the condition of gearboxes used in helicopters is a safety requirement. One of the most widely used helicopter on‐board‐mounted condition monitoring system these days is the Health and Usage Monitoring System. It has been specifically designed to monitor the condition of all safety‐critical components operating in the helicopter through calculation of so‐called condition...
In order to monitor the structural health condition in the case of damage samples shortage, a new approach is proposed by only using the healthy samples of vibration signals. By taking root mean square (RMS), variance, kurtosis and crest factor as characteristic parameters, an identification model for structural health condition monitoring is built by using Mahalanobis-Taguchi System (MTS). It is...
Cavitation in a centrifugal pump causes deterioration of the hydraulic performance, damage to the pump components, high vibration and noise. To prevent cavitation and maintain pump performance, it is necessary to detect and diagnose the cavitation as early and accurately as possible. This paper presents non-destructive method to detect and diagnose cavitation in centrifugal pumps using statistical...
Contamination grades assessment is the important content for the online monitoring system of insulator leakage current (LC). The difficult of assessment is the nonlinear relationship between the electric character variables of the LC, the environment factors and the contamination condition of insulator surface. In this paper, based on laboratory simulation experiments and field data, the parameters...
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