Condition monitoring provides important measurement data for process and production control. The overall system is formed as a continuum of consistent systems. Stabilising control needs continuous condition monitoring where the real-time stress and condition indicators are obtained by using signal processing and feature extraction. Signal processing is needed for waveform signals. The nonlinear scaling brings the severity level to the intelligent indicators which are used in the same way as process measurements. Periodic condition monitoring indicators are based on samples which are analysed in the same way as the continuous data. These indicators are for optimising and coordinating control and may need diagnostics and prognostics. Many methodologies can be utilised within a time range which can be suitable for using performance indicators as well. This level can be utilised in adaptation of control strategies, e.g.for adjusting the maintenance timing. These considerations are understood as performance monitoring which is a part of asset management. The condition monitoring is an important part of the unified solution of all this. Uncertainties and time windows are increasing when going from stabilized control to production control, maintenance and technical asset management. Since a huge number of equipment is waiting to be analysed, the automatic solutions should be extended within these areas.
Esko K. Juuso (Wed,) studied this question.