Introduction to Conditioning Monitoring of Mechanical Systems

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This chapter deals with the impact of condition monitoring in mechanical system. Over the past few decades condition monitoring of the mechanical system is most interesting area for researchers. The extensively used mechanical equipments in severe conditions are subjected to failure and progressive deteriorations from their initial condition. For this suitable parameter has to be selected that indicates real-time internal conditions and fault incidence of the mechanical system. Therefore, to early detection of failure that may cause system shutdown, continuous monitoring of the system is more important aspect that reduces downtime of the systems and it also saves money. In mechanical system fault occurs due to imbalance of forces, fault in gearing system, bearing fault, loading conditions on shaft, and improper machine selection for particular work. To detect the fault at early stage, the system parameters like performance, vibrations, noise, temperature, pressure, wear at movable, and lubrication monitoring are required. In this regard, for monitoring the conditions of system parameter several sensors have been used to detect real-time conditions. The sensors signal is acquired in terms of electrical signal which has been processed by signal processing techniques and analyzed. In-process sensing and control of parameters are required to smooth operation of system. The use and benefits of sensor/transducers and advanced signal processing are having their own strengths and limitations. This chapter is intended to provide fundamentals of various condition monitoring techniques as well as signal processing methods with application in mechanical system. It also describes the various transducers used to provide the corresponding signals for condition monitoring, has been discussed. This chapter also intended that applications of condition monitoring in various mechanical system like identification of bearing defects, Vibration monitoring of rotary machine, cutting tool monitoring, machine tool monitoring, power plant monitoring, vehicles, guiding rails, 3D printing, identification of gears defects, lubricant condition monitoring, railway crossing, wind turbines, surface texture condition monitoring, grinding wheel condition monitoring, etc.