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Fault-identification-based fan energy consumption monitoring system

A technology of energy consumption monitoring and fault identification, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., and can solve problems such as unsuitable all-weather energy efficiency monitoring

Active Publication Date: 2015-10-28
NANTONG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above energy consumption detection methods make the existing equipment unsuitable for fan application enterprises to monitor energy consumption, and the existing expensive equipment is not suitable for matching each fan to realize all-weather energy efficiency monitoring

Method used

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  • Fault-identification-based fan energy consumption monitoring system
  • Fault-identification-based fan energy consumption monitoring system
  • Fault-identification-based fan energy consumption monitoring system

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Embodiment Construction

[0034] A fan energy consumption monitoring system, comprising three three-axis acceleration sensors 1 respectively placed on a bearing housing shell, a motor shell, and a fan shell, and two mutually perpendicular eddy current sensors 2 in the vertical plane of the rotating shaft, and the three-axis acceleration sensor , The eddy current sensor is connected with the signal processing and feature extraction module, and the signal processing and feature extraction module is connected with the neural network-based classification and identification module. "Signal processing and feature extraction module" and "neural network-based classification and recognition module" all rely on hardware facilities such as PC or high-performance controller (such as FPGA, etc.), and software realizes denoising, quaternion PCA feature extraction, axis Heart trajectory feature extraction, pattern recognition based on multi-weight neural network.

[0035] 1. First, collect offline training samples. T...

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Abstract

The invention discloses a fan energy consumption monitoring method and system. When a training sample in obtained, energy consumption of a fan is increased by artificially making various faults, the energy efficiency detection method and system specified by the national standard of China are adopted to test the added values of energy consumption of the fan under various faults, the values of increased energy consumption caused by different faults are classified, a vibration characteristic sample and a track characteristic sample are combined to serve as the training sample of a neural network, and a higher space multi-weight neural network is built. In all-weather energy consumption monitoring, only a low-cost three-shaft acceleration sensor and an eddy-flow sensor need to be additionally installed on the fan, three-dimensional vibration signals and shaft center orbit feature vectors are input the multi-weight neural network, and different types of network output are energy consumption addition classifications.

Description

[0001] This application is a divisional application with application number: 201410257423.1, application date: 2014.6.11, titled "Method and System for Monitoring Fan Energy Consumption". technical field [0002] The invention relates to a method and system for monitoring energy consumption of a fan. Background technique [0003] Fans, motors, pumps, and compressors are collectively referred to as "industrial motor systems" by the International Energy Agency (IEA). The National Development and Reform Commission's "Eleventh Five-Year" energy-saving plan pointed out that the industrial motor system is the main electricity user in China, accounting for more than 50% of the total electricity consumption, of which the electricity consumption of fans accounts for 10.4% of the national electricity consumption. Therefore, the improvement of fan efficiency is of great significance to saving electric energy. [0004] The fan system has a large volume and a wide range, and has a huge ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01L3/26G01R31/00G06N3/08
Inventor 华亮顾菊平羌予践李俊红张齐吴晓张新松徐一鸣张华华俊豪蒋凌
Owner NANTONG UNIVERSITY
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