Importance of condition monitoring in mechanical domain

Abstract

This paper discusses the importance of condition Monitoring in the mechanical domain. Over the last few decades, researchers have been particularly interested in mechanical condition tracking. Automatic machinery is susceptible to malfunction and progressive degradation from its initial state in harsh environments. For this, a suitable parameter that shows real-time internal conditions and mechanical device fault incidence must be selected; as a result, continuous system monitoring is a more critical part of early detection of failure that can trigger system shutdown, reducing system downtime and saving money. Force imbalances, gearing system failures, bearing failures, shaft loading conditions, and incorrect machine selection for a particular job may all cause faults in mechanical systems. System parameters such as efficiency, vibrations, noise, temperature, strain, wear on movables, and lubrication monitoring are needed to detect the fault. Several early sensors are being used in this case to monitor the status of device parameters in real time. Signal processing methods are used to convert the sensors' signal to an electrical signal, which is then processed and analyzed. The device's smooth operation necessitates parameter sensing and monitoring in-process. The use and benefits of sensors and transducers, as well as advanced signal processing, each have their own set of benefits and drawbacks. The basics of various condition monitoring techniques, approaches to condition monitoring, Condition Monitoring Types, and other related topics will be covered in this article. The aim of this paper was to expand condition monitoring to a variety of mechanical domains, including bearing defect detection, rotary machine vibration monitoring, cutting tool monitoring, machine tool monitoring, electricity, vehicles, gear defect detection, and bearing defect detection, to name a few.