Time-frequency analysis in supervising data acquisition on the large industry plant

The paper presents both algorithm and experiences of using a computer system to diagnose possible malfunctions of data acquisition devices using, a computationally simple, signal processing method, that process time-frequency disturbances of the signals and their, analytically unknown, dependencies. Results of over two years of experiences with more and more matured system in real industrial circumstances are presented on the basis of data acquired from the biggest power station in Poland - Belchatow. Extended version of the system can be used not only to diagnose input signals but to detect wasting (misbehaviour) of some subsystems in the plant