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Fault diagnosing system of wheeled tractors
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Gewicht:
203 g
Format:
220x150x7 mm
Beschreibung:
Dr hab. eng. Ryszard Arendt is an associate professor in Faculty of Electrical and Control Engineering in Gdansk University of Technology. His current research interests are: an application of artificial intelligence in automation of ship systems design, mechatronic systems and control elements and system's diagnostics.
Classical diagnosing methods of wheeled tractor defects apply state mapping by measured diagnostic parameters of different symptoms: operation's efficiency, thermal state, vibrations, leak proof etc. This elaboration takes a mixed approach, connecting rule knowledge with phenomena knowledge about wheeled tractor defects, achieved from analytic (model), simulations and exploitations tests. Correctness is recognized, i.e. relationships and connections between the occurring phenomena in destruction process of wheeled tractors, to which we can assign features of stability, significance and necessity, which constitutes the fault diagnostics. The authors' aspiration was the dissemination of relatively new and original information techniques and methods of creating diagnostic relations which are the base for elaborating mechatronic diagnostic system of wheeled tractor.