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An intelligent diagnostic system for the condition monitoring of AC motors

机译:用于交流电机状态监测的智能诊断系统

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The implication of failure to diagnose the faults of AC motors at the inception stage would lead to unscheduled machine down-time that can upset datelines and causes financial losses. Classical methods which involve thermal switches, overload relays, timers, magnetic contactors and programmable integrated circuits were adopted in early days. But these methods did not guarantee full protection of motor. This paper introduces new approach to condition monitoring of motors through intelligent diagnostic system based on stator current analysis and programmable logic controllers. The proposed method is validated by experiments performed on five different defect levels. Experiment results show that this technique is more accurate, cost effective, safe and provides continuous real time tracking of faults and estimates the severity through visual indication.
机译:在开始阶段未能诊断出交流电动机故障的隐含后果将导致计划外的机器停机时间,这可能会使时间表延误并造成财务损失。早期采用的经典方法涉及热敏开关,过载继电器,计时器,电磁接触器和可编程集成电路。但是这些方法不能保证对电动机的全面保护。本文介绍了一种通过基于定子电流分析和可编程逻辑控制器的智能诊断系统进行电动机状态监测的新方法。通过在五个不同缺陷级别上进行的实验验证了所提出的方法。实验结果表明,该技术更加准确,经济高效,安全,可以连续实时跟踪故障并通过视觉指示来估计严重性。

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