An Automatic Fault Diagnosis System Triggered Based on Fault Model

Abstract

The invention discloses an automatic fault diagnosis system based on fault model trigger. The system comprises a sensor, a fault model, a fault classifier and a fault grade evaluation module. The sensor acquires vibration acceleration signals of all components of equipment to be detected; corresponding component types, component fault feature frequency and corresponding component fault codes including the component types and the component fault feature frequency are stored in the fault model, and when frequency components matched with the component fault feature frequency exist in the vibration acceleration signals, the component fault codes are sent to the fault classifier, and a start signal is sent to the fault grade evaluation module; the fault classifier is used for classifying the component fault codes, searching for corresponding fault type information and outputting the fault type information serving as a fault type diagnosis result; and the fault grade evaluation module is used for calculating vibration intensity according to the vibration acceleration signals after the start signal is received and evaluating the fault grade to obtain the fault grade diagnosis result. According to the automatic fault diagnosis system, the fault diagnosis efficiency of wind turbine generators and other equipment can be improved.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis. More specifically, it relates to an automatic fault diagnosis system triggered based on a fault model, which is especially suitable for fault diagnosis of wind power generating sets. Background technique [0002] The unit power generation cost of wind power is basically close to the cost of thermal power generation. It is currently the most commercially valuable and most popular energy type among all renewable energy sources. [0003] Wind power generation is the key direction of the medium and long-term planning in the national energy field. The total installed capacity of wind turbines in my country has reached 74 million kilowatts, accounting for 7% of the total installed capacity of the power grid. The total installed capacity of wind power in the 13th Five-Year Plan will reach 150-200 million kilowatts; by 2050, the total installed capacity of wind power will reach about 17-20% of th...

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Problems solved by technology

[0008] The purpose of the present invention is to provide an automatic fault diagnosis system triggered based on a fault model to solve the problem of low efficiency in fault diagnosis of wind turbines and inability to effectively support the operation and maintenance of wind turbines

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