Smart, Tough and Successful: Three New Innovative Approaches for Diagnosis and Prognosis of Technical Systems

Abstract

Ensuring the total reliability and availability complex systems such as safe mechatronic systems or cost-sensitive machine components is of increasing importance. Besides the availability of task specific sensors and filtering techniques two major issues are of relevance: i) Preparation of the measured data (filtering) and ii) Interpretation of the data with respect to the machines state as well as to the machines remaining lifetime or guaranteed functionality. Core of this contribution is the development and first application of simple, easy to use, easy to apply, and easy to handle algorithms to be used directly with industrial data or measurements from technical systems in operation. The three approaches applied are: AI Acoustic Emission (AE) in combination using a suitable filter to be designed AII Data analysis using macro data feature capturing technique AIII Adaptive fuzzy-based filtering [1] with training and classification modules. Experimental data are used. The approaches use different algorithms as well as different signals (from same experiment) and show more or less the same results but allowing a different and distinguished problem-oriented insight to the complex wear process of the system.