CN-122014533-A - Fault detection method and system for wind power equipment

CN122014533ACN 122014533 ACN122014533 ACN 122014533ACN-122014533-A

Abstract

The invention discloses a fault detection method and system for wind power equipment, and relates to the technical field of fault detection. The fault detection method for the wind power equipment comprises the steps of obtaining running state detection data and electric performance detection data of the target wind power equipment, extracting an abnormal running evaluation value of the target wind power equipment based on the running state detection data, extracting an abnormal electric evaluation value of the target wind power equipment based on the electric performance detection data, and carrying out fusion processing on the abnormal running evaluation value and the abnormal running evaluation value to obtain a fault evaluation value of the target wind power equipment.

Inventors

Liang Zengtong
CAI HUI
TANG ZHENGKUN
ZHANG JUN
WU TIANYUE

Assignees

华电(宁夏)能源有限公司新能源分公司

Dates

Publication Date: 20260512
Application Date: 20260211

Claims (8)

1. A fault detection method for wind power equipment, characterized by comprising the steps of: acquiring running state detection data and electrical performance detection data of target wind power equipment; extracting an abnormal operation evaluation value of the target wind power equipment based on the operation state detection data; Based on the electrical performance detection data, extracting an electrical abnormality evaluation value of the target wind power equipment, and carrying out fusion processing on the electrical abnormality evaluation value and the operation abnormality evaluation value to obtain a fault evaluation value of the target wind power equipment; And performing fault detection processing on the target wind power equipment based on the fault evaluation value.
2. The fault detection method for a wind power plant according to claim 1, wherein the operation state detection data is a rotation speed value, a gear box temperature value, a generator temperature value, a nacelle temperature value, a hydraulic station pressure value, a gear oil pump pressure value, a transmission vibration value.
3. The fault detection method for a wind power plant according to claim 2, wherein the specific step of extracting the operational anomaly evaluation value of the target wind power plant is as follows: Performing feature extraction processing on the running state detection data to obtain a running detection set of the target wind power equipment, wherein the running detection set comprises a thermal engineering abnormality evaluation value and a power abnormality evaluation value; And comprehensively processing the operation detection set to obtain an operation abnormality evaluation value of the target wind power equipment.
4. A fault detection method for a wind power plant according to claim 3, characterized in that the specific steps of obtaining a running detection set of a target wind power plant are as follows: extracting a thermal anomaly evaluation value of the target wind power equipment based on the gearbox temperature value, the generator temperature value and the cabin temperature value; and extracting a power abnormality evaluation value of the target wind power equipment based on the transmission vibration value, the hydraulic station pressure value, the gear oil pump pressure value and the rotating speed value.
5. The fault detection method for a wind power plant according to claim 1, wherein the specific step of extracting the electrical anomaly evaluation value of the target wind power plant is as follows: Performing deviation processing on the electrical performance detection data and an electrical reference set stored in a database to obtain an electrical deviation set of target wind power equipment; And comprehensively processing the electrical deviation set to obtain an electrical abnormality evaluation value of the target wind power equipment.
6. The fault detection method for wind power equipment according to claim 1, wherein the specific steps of obtaining the fault evaluation value of the target wind power equipment are as follows: reading the electrical abnormality evaluation value and the operation abnormality evaluation value, and carrying out normalization processing; And carrying out aggregation processing on the electrical anomaly evaluation value and the operation anomaly evaluation value after normalization processing to obtain a fault evaluation value of the target wind power equipment.
7. The fault detection method for wind power equipment according to claim 1, wherein the specific steps of performing fault detection processing on the target wind power equipment are as follows: comparing the fault evaluation value with a preset fault evaluation threshold value; and outputting a fault detection result of the target wind power equipment based on the comparison processing result.
8. A fault detection system for a wind power plant, applying the fault detection method for a wind power plant according to any one of claims 1 to 7, comprising: the data acquisition module is used for acquiring running state detection data and electrical performance detection data of the target wind power equipment; The operation evaluation module is used for extracting an operation abnormality evaluation value of the target wind power equipment based on the operation state detection data; The comprehensive evaluation module is used for extracting an electrical abnormality evaluation value of the target wind power equipment based on the electrical performance detection data, and carrying out fusion processing on the electrical abnormality evaluation value and the operation abnormality evaluation value to obtain a fault evaluation value of the target wind power equipment; and the fault detection module is used for carrying out fault detection processing on the target wind power equipment based on the fault evaluation value.

Description

Fault detection method and system for wind power equipment Technical Field The invention relates to the technical field of fault detection, in particular to a fault detection method and system for wind power equipment. Background Wind power generation is used as a core utilization form of clean and renewable energy, the installed capacity of the wind power generation is continuously and rapidly increased, the doubly-fed wind power generation set is mainly configured in the wind power field by virtue of a mature technical route and stable operation performance, the wind power generation set is complex in structure, the core is composed of mechanical components such as a transmission system, a wind wheel and pitch system, a yaw system and a control system, and electrical components such as a high-low voltage distribution system, a 35kV combined electrical appliance, a frequency converter and a current transformer, the wind power generation set is in outdoor severe working conditions for a long time and needs to continuously operate under high load, so that key components such as a gear box, a generator, a main shaft and an electrical circuit are easy to wear, age, insulation decline and the like, and the doubly-fed wind power generation set becomes a failure high-generation point. The limitation of the prior art at least comprises the following problems that the prior art does not realize the comprehensive integration of the multi-dimensional data of the running state and the electrical performance of the wind power equipment, so that the evaluation of equipment faults lacks integrity, and the actual running state of the equipment is difficult to comprehensively reflect; and the operation state data is not subjected to targeted subdivision extraction of thermal and dynamic dimensions, the data processing mode is scattered, the cooperative analysis of multi-dimensional data is difficult to realize, the fault evaluation accuracy is easy to be insufficient, the condition of missing detection and false detection is easy to occur, the reliability of fault detection is reduced, and the actual requirement of high-efficiency operation and maintenance of wind power equipment is difficult to be met. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a fault detection method and a fault detection system for wind power equipment, which solve the problems that the prior art does not integrate and subdivide wind power multidimensional data, and the fault evaluation is not difficult to meet the operation and maintenance requirements. The fault detection method for the wind power equipment comprises the following steps of obtaining operation state detection data and electrical performance detection data of the target wind power equipment, extracting an operation abnormality evaluation value of the target wind power equipment based on the operation state detection data, extracting an electrical abnormality evaluation value of the target wind power equipment based on the electrical performance detection data, carrying out fusion processing on the electrical abnormality evaluation value and the operation abnormality evaluation value to obtain a fault evaluation value of the target wind power equipment, and carrying out fault detection processing on the target wind power equipment based on the fault evaluation value. Further, the running state detection data are a rotating speed value, a gear box temperature value, a generator temperature value, a cabin temperature value, a hydraulic station pressure value, a gear oil pump pressure value and a transmission vibration value. The method comprises the specific steps of extracting an operation abnormality evaluation value of target wind power equipment, wherein the specific steps of extracting the operation abnormality evaluation value of the target wind power equipment are as follows, performing feature extraction processing on the operation state detection data to obtain an operation detection set of the target wind power equipment, wherein the operation detection set comprises a thermal abnormality evaluation value and a power abnormality evaluation value, and performing comprehensive processing on the operation detection set to obtain the operation abnormality evaluation value of the target wind power equipment. The method comprises the specific steps of obtaining an operation detection set of target wind power equipment, wherein the specific steps of obtaining the operation detection set of the target wind power equipment comprise the steps of extracting a thermal anomaly evaluation value of the target wind power equipment based on a gear box temperature value, a generator temperature value and a cabin temperature value, and extracting a power anomaly evaluation value of the target wind power equipment based on a transmission vibration value, a hydraulic station pressure value, a gear oil pump pressure value and a rotating speed value. The met