Design of an intelligent embedded system for condition monitoring of an industrial robot

• Main Author: Jaber, Alaa Abdulhady, (Author)
• Format: eBook
• Language: English
• Published: Switzerland : Springer, 2016.
• Series: Springer theses.
• Subjects: Robots, Industrial.; Embedded computer systems.; Fault location (Engineering); elektronické knihy; electronic books
• ISBN: 9783319449326; 9783319449319
• Physical Description: 1 online resource (xxxv, 279 pages) : illustrations (some color)
• Item Description: "Doctoral thesis accepted by Newcastle University, UK."
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions. However the developed embedded wireless condition monitoring system leads itself very well for applications on any power transmission equipment in which the loads and speeds are not constant, and access is restricted. As such this provides significant scope for future development. Three significant achievements are presented in this thesis. First, the development of a condition monitoring algorithm based on vibration analysis of an industrial robot for fault detection and diagnosis. The combined use of a statistical control chart with time-domain signal analysis for detecting a fault via an arm-mounted wireless processor system represents the first stage of fault detection. Second, the design and development of a sophisticated embedded microprocessor base station for online implementation of the intelligent condition monitoring algorithm, and third, the implementation of a discrete wavelet transform, using an artificial neural network, with statistical feature extraction for robot fault diagnosis in which the vibration signals are first decomposed into eight levels of wavelet coefficients.