A condition monitoring on gear box using vibration signal analysis

Mohd Noor, Dayang Nur Salihah (2024) A condition monitoring on gear box using vibration signal analysis. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Analysis of Vibration Signals Performed on Gearboxes Allows for Condition Monitoring. In a wide variety of industrial contexts, it is essential for gearboxes to function in an effective and dependable manner. On the other hand, the deterioration and failure of gearboxes can result in unanticipated downtime, expensive repairs, and sometimes even safety issues. As a result, putting into practice efficient strategies for condition monitoring is vital if one want to identify early indicators of degradation and make it possible for prompt maintenance actions.In recent years, vibration signal analysis has become a major tool for condition monitoring of gearboxes. This trend is expected to continue. This method takes advantage of the innate sensitivity of vibration signals in order to discover numerous fault types, such as wear on the gear teeth, misalignment, defective bearings, and lubrication problems. An in-depth understanding of the gearbox's current state of health can be obtained by carefully examining the vibration signals for their frequency content, amplitude, and any other relevant properties.This abstract provides a summary of condition monitoring on gearboxes through the use of vibration signal analysis. The most important stages of the process, such as signal capture, preprocessing, feature extraction, and defect identification, are broken down and investigated in this chapter. Several different strategies for processing signals, including time-domain analysis, frequency-domain analysis, and statistical methods, are dissected in great detail, along with the benefits and drawbacks of each strategy in its own right.In addition, this abstract emphasizes the significance of selecting suitable sensors and measuring locations in order to acquire accurate and representative vibration signals. In addition to this, it highlights the need of gathering baseline data and designing efficient defect detection algorithms that are suited to the particular gearbox configurations and operating conditions at hand.In addition, the abstract places an emphasis on the benefits of using vibration-based condition monitoring, which include improved maintenance planning, enhanced operational efficiency, and reduced downtime. Potential failures can be avoided and proactive maintenance techniques can be implemented, which leads to cost savings and an increased lifespan of the equipment. This can be accomplished by the early detection and diagnosis of gearbox defects.To summarize, vibration signal analysis is an effective method for condition monitoring of gearboxes. This technology makes it possible to detect and diagnose flaws in a timely manner by capitalizing on the diagnostic potential of vibration signals. This, in turn, facilitates the development of effective maintenance strategies and ensures the dependable and optimal operation of gearboxes in a variety of industrial settings.

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