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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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Design of an Intelligent Embedded System for Condition Monitoring of an Industrial Robot (Paperback, Softcover reprint of the original 1st ed. 2017)
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Design of an Intelligent Embedded System for Condition Monitoring of an Industrial Robot (Paperback, Softcover reprint of the original 1st ed. 2017)
Series: Springer Theses
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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.
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