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Design of an Intelligent Embedded System for Condition Monitoring of an Industrial Robot (Springer Theses)

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en Limba Engleză Carte Hardback – 16 Sep 2016
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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Specificații

ISBN-13: 9783319449319
ISBN-10: 3319449311
Pagini: 328
Dimensiuni: 155 x 235 x 19 mm
Greutate: 5.97 kg
Ediția: 1st ed. 2017
Editura: Springer
Colecția Springer
Seria Springer Theses

Locul publicării: Cham, Switzerland

Cuprins

Chapter 1 Introduction.- Chapter 2 Literature Review.- Chapter 3 Signal Processing Techniques for Condition Monitoring.- Chapter 4 Puma 560 Robot and its Dynamic Characteristics.- Chapter 5 Robot Hardware, Transmission Faults and Data Acquisition.- Chapter 6 Robot Vibration Analysis and Feature Extraction.- Chapter 7 Intelligent Condition Monitoring System Design.- Chapter 8 Embedded System Design.- Chapter 9 Embedded Software Design, System Testing and Validation.- Chapter 10 Conclusions and Future Work.- References.- Appendices.


Recenzii

“The book provides great information for those interested in exploring similar solutions for online monitoring of complicated systems, from robots to airplane part fault diagnostics. … In all, this excellent published thesis is very methodically organized and researched. The information is pertinent to a wide level of readers in fields such as hardware design, embedded computing, and distributed and wireless communication.” (Scott Moody, Computing Reviews, May, 2017)

Notă biografică

Dr Alaa Abdulhady Jaber has published seven international, peer-reviewed journal papers, with further three submitted and under review, with three more in preparation. Also, six papers have been published at different international conferences. As a result of these achievements, he has received a number of awards and Certificates of Merits from: the Iraqi Ministry of Higher Education and Scientific Research, the School of Mechanical and Systems engineering/ Newcastle University and the Iraqi Cultural Attaché in London.

Textul de pe ultima copertă

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.

Caracteristici

Focuses to design and develop an online, intelligent CM system based on wireless embedded technology

Aims to detect and diagnose the most common faults in the transmission systems (gears and bearings) of the industrial robot joints using vibration signal analysis

Shows successful detection and diagnosis of faults using the key extracted parameters