METHOD AND APPARATUS FOR EMBEDDED CURRENT SIGNATURE ANALYSIS AND REMOTE CONDITION MONITORING FOR INDUSTRIAL MACHINERY

摘要

The present invention relates to operation monitoring and failure predicting in motor-operated systems. Provided is a method for operation monitoring and failure predicting in a system including a drive-operated motor, based on Motor Current Signature Analysis (MCSA) performed on a drive level, comprising: collecting motor current data by a condition monitor, the collected motor current data being obtained from a motor current signal being available through an HM-interface supported by a particular drive, processing the collected data by the MCSA on a drive firmware level, making a decision regarding the operation condition and predicting a failure based on results of the processing. The processing comprises simulating the system by a complex valued recurrent neural network.