Abstract
In this article, the insulation fault detection of high-voltage motors by the artificial neural network algorithm is used. The proposed method can evaluate the status of operating motor without interrupting the normal operation. According to the measurement of partial discharge information, this research establishes the relationship of stator failures and pattern features. This study uses common high-voltage motor stator fault types to experimentally produce four types of stator test models with insulation defects; these models are compared with a healthy motor model. Through the learning of the artificial neural network, the experimental results show that the artificial neural network–based stator fault diagnosis system proposed in this article has a recognition rate as high as 90% when the conjugate gradient algorithm is used, and there are 20 neurons in the hidden layer.
Highlights
With the evolution of technology, electrical equipment construction is more sophisticated; equipment maintenance has become more difficult
Electrical equipment often operate in the overload state, affecting the equipment’s power supply life and deteriorating the insulating materials, both of which are unstable elements in high-voltage equipment
In the case that high-voltage equipment is faulty, losses caused by fire, power outages, electric shock, and other hazards will arise. To avoid such hazards, a diagnostic system is introduced to each piece of large electrical equipment to control the insulation of the electrical equipment
Summary
With the evolution of technology, electrical equipment construction is more sophisticated; equipment maintenance has become more difficult. Introduction of the background of partial discharge and the artificial neural network Insulation defect model of the stator coil in the high-voltage motor. The insulation weakening phenomena involve the insulation losing contact to the ground, forming high voltage This situation produces electric discharge on the surface to ground, which in turn produces ozone. Chemical erosion, and manufacturing defects cause the conducting layer to break, leading to the slot of electric discharge.[6] Severe machine damage will produce electric discharges of high voltage that cause damage to the main insulation and lead to insulation expiration. At the beginning of the electric discharge of the slot, the electric discharge is similar to a spark discharge rather than a typical partial discharge
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