A hydropower station equipment fault detection system and method based on multi-source information fusion

CN120258763BActive Publication Date: 2026-04-21POWERCHINA BEIJING ENG CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
POWERCHINA BEIJING ENG CORP
Filing Date
2025-03-18
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Existing technologies for fault detection in hydropower station equipment suffer from several problems: a single method cannot address the differences between various devices; the frequency of inspections is often set irrationally, leading to missed or false alarms and wasted resources; and inconsistent input data frequencies for multi-device diagnostic models make them difficult to function properly.

Method used

A fault detection system for hydropower station equipment based on multi-source information fusion is adopted, including a central control host, a fault management server, an inspection robot, and sensors. Through equipment classification, inspection frequency setting modules, and multiple fault models, targeted detection and frequency adjustment are achieved. Data acquisition and diagnosis are carried out in conjunction with environmental monitoring sensors and vibration sensors.

Benefits of technology

It improves the accuracy and efficiency of fault detection, reduces resource waste, ensures the consistency of input data for multi-device diagnostic models, and enables the rapid detection and effective handling of frequently occurring faults.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a fault detection system and method for hydropower station equipment based on multi-source information fusion, including a central control host, a fault management server, an inspection robot, environmental monitoring sensors, and vibration sensors. The fault management server includes a historical record database and a fault detection module. The fault detection module is used for fault diagnosis of hydropower station equipment. The equipment classification module is used to classify hydropower station equipment according to fault phenomena. The inspection frequency setting module is used to set the inspection frequency of the inspection robot. This invention sets different detection methods for different categories of equipment, improving the targeting of fault detection. This invention adjusts the inspection frequency according to the historical fault situation of the equipment, making it easier to find high-frequency faults and avoiding repeated inspections of low-frequency faults, thus saving resources. This invention can effectively ensure the consistency of the frequency of multiple input data of the associated equipment fault model, ensuring the normal operation of the fault model.
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Citation Information

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