Condition monitoring allows to detect and identify changes in the condition of assets which may indicate a developing fault, an impending failure, or a damage in the system. This is possible by monitoring a parameter of conditions such as vibration, temperature, pressure, flow rates, rotation speed, load, etc. When the problem is identified, it can successfully be corrected through repair and maintenance procedure in order to avoid equipment to fail.
Predictive maintenance combines sensor measurements with algorithmic formulas to predict the moment maintenance actions should be taken.
Condition monitoring and predictive maintenance successfully prevent from running a machine to failure and then replacing it or its component. The prompt detection of potential failure means a prompt reaction to fix the fault, avoid any arrest of the system and save money.