Methodology for Assessment of the Technical Condition of Electric Motors and Descriptive Forms of Signals
Keywords:
Electric motors, Technical condition, Fault types, Diagnostic monitoring, Complex fault, Fuzzy logicAbstract
Although many different research papers have been conducted on the technical condition monitoring, detection and diagnosis of fast faults in stopping asynchronous motors widely used in transport, industry and household, the creation of a complex monitoring system for this purpose has not been fully resolved. For this purpose, the description and processing methods of various coordinate signals were considered for the construction of complex motor diagnostics and protection systems. It is possible to create an intelligent hybrid model of the fault diagnosis and motor protection system as a result of the grouping of failures of high powered asynchronous motors used in transport with the help of modern sensors. For this, the analog signals received from the sensors should be analyzed, various transformations should be performed on them and the evaluation of the technical condition should be considered based on the obtained final signal.
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