Signal detection for gear defect of pump system using signal analysis of data acquisition

Aminuddin, Mohd Saiful Aiman (2023) Signal detection for gear defect of pump system using signal analysis of data acquisition. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The signal detection method is a type of predictive maintenance which monitor the health, performance, and reliability of a mechanical unit. By this, signal detection is categorized as a condition-based maintenance method under predictive maintenance. In this project report, the gear pump system is selected as the subject for the signal detection to detect the condition of the system. The gear pump is selected because the gear pump system is widely used in the industrial application making it a reasonable subject to be used in this project report. There are many types of fault detections in the gear pump system due to the mechanical rotating part, high-pressure conditions and chemical fluid exposure. There for, condition-based maintenance has an important role in the system so that it can be monitored closely. Firstly, data collection for the gear pump in different conditions would be collected. By this, the data would be processed and to be analyse which later compare the normal and abnormal state of the gear pump. With this, the average signal would be set to familiarize both conditions of the gear pump. Secondly, a new development of a new integrated analytical method for detecting an abnormal behaviour is presented by using a normal microphone as the source to monitor the condition of the gear pump and damage level. After obtaining both vibration and sound/audio signals, the signal would be processed using an integrated analytical method and I-Kaz for visual data spread. For the result of the research, it is concluded as a successful study. This is because by this research the finding for both signal analysis technique in short use for diagnosing and monitoring the status of mechanical systems and equipment. Vibration analysis is well-known for its great sensitivity, non-destructive nature, and versatility, but it also necessitates the use of specialised equipment and skilled staff. Sound analysis is a reasonably simple, quick, and cost-effective procedure, although it has a limited scope and is susceptible to background noise. Both methods have benefits and drawbacks, and the optimum strategy would be determined by the individual application, the equipment or machinery being monitored, the experience of the personnel performing the analysis, and the available resources.

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