自动化与信息工程2025，Vol.46Issue(1)：36-40,46,6.DOI:10.3969/j.issn.1674-2605.2025.01.005
基于特征分布对齐与多传感器融合的水泵异常检测方法
Water Pump Anomaly Detection Method Based on Feature Distribution Alignment and Multi-sensor Fusion
林朝晖 1廖奕校 2招智铭 1万智勇 2周松斌2
作者信息
- 1. 广州市自来水有限公司石门水厂,广东 广州 510000
- 2. 广东省科学院智能制造研究所,广东 广州 510070
- 折叠
摘要
Abstract
The water pump is an important pressurization device in the water supply system.Conducting anomaly detection and timely detection of operational abnormalities is of great significance for ensuring water supply safety.A water pump anomaly detection method based on feature distribution alignment and multi-sensor fusion is proposed to address the problems of difficulty in obtaining anomaly samples and low detection accuracy in existing artificial intelligence methods for water pump anomaly detection.This method takes the logarithmic Mel spectrum of multi-channel sensing signals as input;Using convolutional autoencoder networks to fuse multi-sensor information;Train a convolutional autoencoder network with the goal of minimizing signal reconstruction loss and feature distribution loss;Calculate the anomaly score of samples based on reconstruction loss to achieve anomaly detection of water pumps.The experimental results show that this method effectively improves the performance of water pump anomaly detection.关键词
水泵异常检测/数据重构/特征分布对齐/多传感器融合Key words
anomaly detection of water pump/data reconstruction/feature distribution alignment/multi-sensor fusion分类
计算机与自动化引用本文复制引用
林朝晖,廖奕校,招智铭,万智勇,周松斌..基于特征分布对齐与多传感器融合的水泵异常检测方法[J].自动化与信息工程,2025,46(1):36-40,46,6.
