Method and device for generator stator fault monitoring based on strain and acoustic wave sensing

Abstract

The invention discloses a method and device for monitoring a generator stator fault based on strain and acoustic wave sensing, which includes: installing a sensing optical cable for measuring the strain and acoustic wave signal of a large generator stator; connecting the length of the sensing optical cable to the power generation The three-dimensional coordinates of the generator stator are calibrated; by collecting the strain-acoustic signals generated by various faults of the large-scale generator stator, a convolutional neural network training model for generator stator fault monitoring is constructed; the generator stator fault monitoring is carried out, combined with the field Manual maintenance results update the fault sample library; use the updated fault sample library to retrain the generator stator fault monitoring model, and use the updated generator stator fault monitoring model to analyze the fault types of large generators in operation based on abnormal strain-acoustic signals Identify and predict. The invention expands the range and precision of generator stator fault monitoring, and can predict the fault of large generator stator.

Description

technical field [0001] The invention relates to the technical field of large-scale generator stator fault monitoring, in particular to a method and device for fault monitoring of a generator stator based on strain and acoustic wave sensing. Background technique [0002] Large-scale generators are important equipment in the power industry. Once a large-scale generator fails, it will cause a power outage and even endanger the normal and stable operation of the power system. Moreover, the accident involves a large area, the repair period is long, the cost is high, and the economic loss is huge. Therefore, the safe and reliable operation of large generators has become a key factor in the normal operation of power systems. Since the stator of the generator needs to bear the constantly changing mechanical force, electric field, and heat during operation, it is prone to failures such as deformation of the stator core and partial discharge of the stator bar. The fault monitoring of ...

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Problems solved by technology

Moreover, there is no automatic identification algorithm for generator stator faults using optical fiber sensing signals in the above literature, so effective identification and early warning of generator stator faults cannot be carried out.

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