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Condition Monitoring of a Compressor Motor Unit: An Investigation of Abnormal High Pitch Noise

机译:压缩机电机单元的状态监测:异常高间距噪声的调查

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Condition monitoring of machinery through the use of vibration analysis and modal identification is a cost effective techniques involving the continuous assessment of machinery components in order to identify any changes in the system dynamics, e.g., changes in the dynamic characteristics of the system, detect early stages of component degradation and prevent catastrophic failures. However, condition monitoring by itself can only pinpoint the root causes of failures but fault interpretation such as poor design, poor assembly, wear and tear, imbalance and misalignment due to bad manufacturing processes, is mainly triggered by the user. In this paper the condition monitoring of a compressor motor is examined for continuous high pitch noise. Analyse technique used in the investigation includes machine maintenance history, trending, and sound intensity analysis to determine the noise source location and side bands around the dominating high pitch frequency components in the noise spectrum. Due to the amplitude modulating effect on the characteristic frequencies of the compressor motor, a Fast Fourier Transform (FFT) frequency spectrum of the modulating signal have been considered to record the dominant impulsive force at the dominating high pitch frequency. Strong frequency components due to a gradual increase in the vibration at specific running speed of the compressor motor rotor bars have been observed.
机译:通过使用振动分析和模态识别的机器的状态监测是一种成本有效的技术,涉及机器组件的连续评估,以确定系统动态的任何变化,例如系统的动态特性的变化,检测早期阶段组分劣化和防止灾难性失败。然而,条件监测本身只能确定故障的根本原因,但故障解释,如差的设计,差,磨损和撕裂,由于制造过程差而非糟糕的制造过程而失衡,主要由用户触发。在本文中,检查了压缩机电动机的状态监测,用于连续高间距噪音。调查中使用的分析技术包括机器维护历史,趋势和声强分析,以确定噪声频谱中主导高音高频率分量周围的噪声源位置和侧带。由于对压缩机电动机的特性频率的幅度调节效应,已经考虑了调制信号的快速傅里叶变换(FFT)频谱以在主导的高间距频率下记录主导的脉冲力。已经观察到由于压缩机电动机转子条的特定运行速度逐渐增加而导致的强频率分量。

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