Remote Monitoring of Industrial Systems Health

A low cost platform is proposed for remote monitoring the health status of an industrial system. The key elements of this platform are: a measurement system, a communication system and a data processing system responsible for analyzing data and estimating the status of the equipments placed in remote locations. Wired and wireless sensors are developed for collecting vibration, acceleration, current and temperature values that characterize the operation of remote industrial equipment. A “plug and play„ software application is implemented for allowing remote computers to share this sensor data using OPC technology. Using Matlab as an OPC client, time-domain and frequency-domain signal processing techniques are used in order to determine the signatures associated with faults of the remote equipments.