Real time state monitoring and fault diagnosis system for motor based on LabVIEW

TL;DR

This paper presents a real-time motor monitoring and fault diagnosis system using LabVIEW, which collects multi-dimensional data, analyzes motor health, and integrates cloud storage for industrial applications.

Contribution

It introduces a comprehensive LabVIEW-based system for real-time motor monitoring and multi-fault diagnosis, incorporating advanced order analysis and cloud data backup.

Findings

Real-time data collection with NI cDAQ equipment.

Effective fault classification using order analysis.

Cloud integration for data storage and remote access.

Abstract

Motor is the most widely used production equipment in industrial field. In order to realize the real-time state monitoring and multi-fault pre-diagnosis of three-phase motor, this paper presents a design of three-phase motor state monitoring and fault diagnosis system based on LabVIEW. The multi-dimensional vibration acceleration, rotational speed, temperature, current and voltage signals of the motor are collected with NI cDAQ acquisition equipment in real time and high speed. At the same time, the model of motor health state and fault state is established. The order analysis algorithm is used to analyze the data at an advanced level, and the diagnosis and classification of different fault types are realized. The system is equipped with multi-channel acquisition, display, analysis and storage. Combined with the current cloud transmission technology, we will back up the data to the cloud to be used by other terminals.