Ensuring the total reliability and availability complex systems such as safemechatronic systems or cost-sensitive machine components is of increasingimportance. Besides the availability of task specific sensors and filtering techniquestwo major issues are of relevance: i) Preparation of the measured data (filtering) andii) Interpretation of the data with respect to the machines state as well as to themachines remaining lifetime or guaranteed functionality. Core of this contribution isthe development and first application of simple, easy to use, easy to apply, and easy tohandle algorithms to be used directly with industrial data or measurements fromtechnical systems in operation.The three approaches applied are:AI Acoustic Emission (AE) in combination using a suitable filter to be designedAII Data analysis using macro data feature capturing techniqueAIII Adaptive fuzzy-based filtering [1] with training and classification modules.Experimental data are used. The approaches use different algorithms as well asdifferent signals (from same experiment) and show more or less the same results butallowing a different and distinguished problem-oriented insight to the complex wearprocess of the system.
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