Abstract
The paper discusses the development of an expert system for diagnosing electric traction motors of rolling stock. The diagnostic parameters of the electric traction motor commutator-and-brush assembly, being the input linguistic variables of the fuzzy model, were selected with the use of graphoanalytic model. A fuzzy mathematical model and a fuzzy neural network for comprehensive indicator of quality of mechanical machining implementing the Takagi — Sugeno fuzzy inference algorithm were developed. The authors confirmed the practicability and the adequacy of the previously proposed comprehensive indicator of quality of mechanical machining for assessing the technical condition of the electric traction motor commutator-and-brush assembly. The studies carried out allowed creating an element of intelligent expert diagnostics system that enables a comprehensive assessment of technical condition of electric traction motor.
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