Purpose

Electric motors are present in most industries today, being the main source of power. Thus, detection of faults is very important to rise reliability, reduce the production cost, improving uptime and safety. Vibration analysis for condition-based maintenance is a mature technique in view of these objectives.

Design/methodology/approach

This paper shows a methodology to analyze the vibration signal of electric rotating motors and diagnosis the health of the motor using time and frequency domain responses. The analysis lies in the fact that all rotating motor has a stable vibration pattern on health conditions. If the motor becomes faulty, the vibration pattern gets changed.

Findings

Results showed that through the vibration analysis using the frequency domain response it is possible to detect and classify the motors in several induced operation conditions: healthy, unbalanced, mechanical looseness, misalignment, bent shaft, broken bar and bearing fault condition.

Originality/value

The proposed methodology is verified through a real experimental setup.

中文翻译：

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考虑不同实际故障类型的电机频域振动信号分析故障检测与诊断

目的

当今大多数行业都使用电动机，是主要的动力来源。因此，故障检测对于提高可靠性、降低生产成本、提高正常运行时间和安全性非常重要。鉴于这些目标，基于状态的维护的振动分析是一种成熟的技术。

设计/方法/方法

本文展示了一种使用时域和频域响应分析电动旋转电机的振动信号并诊断电机健康状况的方法。分析在于，所有旋转电机在健康状况下都具有稳定的振动模式。如果电机出现故障，振动模式就会改变。

发现

结果表明，通过使用频域响应的振动分析，可以检测和分类几种感应运行条件下的电机：健康、不平衡、机械松动、不对中、轴弯曲、断条和轴承故障条件。

原创性/价值

通过真实的实验设置验证了所提出的方法。