Advanced signal processing and condition monitoring

When physical models are of a high complexity, a signal processing approach is helpful for providing accurate information about a system and its failures. The session at this Conference entitled Advanced Signal Processing and Condition Monitoring contains papers who propose new advanced signal processing methods in the context of condition monitoring, diagnostic and fault detection. The methods proposed tackle the analysis, modelling and/or detection of non-stationary and/or non-linear signals in time, frequency, time-frequency and/or time-scale domains using parametric, non-parametric and/or statistical approaches. Tools such as optimisation techniques can cope with the high non-linearity of the system to solve. The methods proposed are successful in decision-making and bring on a step up in real-life signal processing applications. Signals or considered models come from domains such as acoustics, vibroacoustics, mechanics and electrical engineering. This keynote paper outlines a structured session of the Fourth International Conference on Condition Monitoring, gives some insight in spectral and time-frequency analysis and, in particular, presents a way of modelling highly non-stationary signals having both non-linear amplitude and non-linear frequency modulations.