Description

Book Synopsis
In Chapter One, the implementation of an advanced control strategy based on Model Predictive Control (MPC) is proposed. In Chapter Two, an uncertainty observer based controller in order to regulate a class of highly nonlinear system is considered. Chapter Three presents the development of an integrated monitoring system for the continuous evaluation of the condition of critical rotating and structural components in tidal turbines. The system can be used to provide information regarding the presence of faults as well as advanced warning of impending failures. Chapter Four presents a multi-functional oil condition sensor for detecting wear debris and measuring lubricant properties. To conclude, Chapter Five analyses current issues and development directions of next generation manufacturing systems, with particular emphasis on digital manufacturing proposed as part of the Industry 4.0 revolution.

Condition Monitoring & Dynamic Control Systems:

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    A Paperback / softback by Russell T Crawford

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      Publisher: Nova Science Publishers Inc
      Publication Date: Publication Date: 01/08/2017
      ISBN13: 9781536119947, 978-1536119947
      ISBN10: 1536119946

      Description

      Book Synopsis
      In Chapter One, the implementation of an advanced control strategy based on Model Predictive Control (MPC) is proposed. In Chapter Two, an uncertainty observer based controller in order to regulate a class of highly nonlinear system is considered. Chapter Three presents the development of an integrated monitoring system for the continuous evaluation of the condition of critical rotating and structural components in tidal turbines. The system can be used to provide information regarding the presence of faults as well as advanced warning of impending failures. Chapter Four presents a multi-functional oil condition sensor for detecting wear debris and measuring lubricant properties. To conclude, Chapter Five analyses current issues and development directions of next generation manufacturing systems, with particular emphasis on digital manufacturing proposed as part of the Industry 4.0 revolution.

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