Improving Machine Reliability through Real time Monitoring and Failure Prediction
The maintenance paradigm is evolving from reactive maintenance to preventive and predictive maintenance. Modern machines are equipped with smart sensors and on-board computers which collect and transmit real-time information on critical machine parameters like temperature, pressure, load and number of usage cycles. These sensors and embedded computers continuously monitor wear and tear on shop floor equipment and machines in the field, like automobiles, turbines, ships and aircraft. Real-time analysis of this information can improve safety and minimize production downtime by diagnosing or predicting performance deterioration, efficiency loss and component failure, but the real challenge is to efficiently process this large volume of information in real time and leverage the analysis to drive decision making.