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Classical approaches to the fault detection and isolation usually require extensive plant-modeling and statistical analysis of the measured signals and their residuals versus the developed model. In this paper, alternative simple model-free approach is proposed. Real-time data are preprocessed and self-organizing map is trained and used for the reliable isolation of the most frequent mill fault -...
In this paper, a method for classifying room impulse responses using multifractals and Kohonen's neural networks is investigated. Impulse response is basic source of information in room acoustics; therefore its analysis is the most important issue regarding sound impression in the room. The method proposed in this paper consists of three steps. The first stage of signal classification process is computation...
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