Muhammad Irfan – författare

In this textbook for upper-undergraduate and postgraduate students, Dr Ali and colleagues provide the reader with information on the effect of Industrial Revolution 4.0 on the construction industry, particularly regarding PMBOK knowledge areas.

The authors furnish readers with an understanding of IR 4.0 and reasons for adopting it and provide an in-depth insight into the impact of IR 4.0 on technology and society, particularly in the construction industry. Further to this, they also compare traditional and IR 4.0 project manager’s competencies so that readers can develop their understanding of Project Management Knowledge areas and how IR 4.0 can be used to enhance these knowledge areas. The book is structured logically and sequentially to benefit even novice readers as they progress from basic to more advanced topics related to IR 4.0 and PMBOK. The final main chapter of this book provides an in-depth discussion of the enhancement of PMBOK knowledge areas using IR 4.0, including topics such as project integration management, IR 4.0 enhancements such as digitalization, and a conceptual framework for industry betterment. By the end of the book, readers will have the knowledge and skills to apply IR 4.0 techniques in their future careers in the construction industry.

This book is an invaluable resource for students of construction engineering and management at upper-undergraduate and postgraduate levels and for existing industry professionals as part of their continuous professional development.

In this textbook for upper-undergraduate and postgraduate students, Dr Ali and colleagues provide the reader with information on the effect of Industrial Revolution 4.0 on the construction industry, particularly regarding PMBOK knowledge areas.

The authors furnish readers with an understanding of IR 4.0 and reasons for adopting it and provide an in-depth insight into the impact of IR 4.0 on technology and society, particularly in the construction industry. Further to this, they also compare traditional and IR 4.0 project manager’s competencies so that readers can develop their understanding of Project Management Knowledge areas and how IR 4.0 can be used to enhance these knowledge areas. The book is structured logically and sequentially to benefit even novice readers as they progress from basic to more advanced topics related to IR 4.0 and PMBOK. The final main chapter of this book provides an in-depth discussion of the enhancement of PMBOK knowledge areas using IR 4.0, including topics such as project integration management, IR 4.0 enhancements such as digitalization, and a conceptual framework for industry betterment. By the end of the book, readers will have the knowledge and skills to apply IR 4.0 techniques in their future careers in the construction industry.

This book is an invaluable resource for students of construction engineering and management at upper-undergraduate and postgraduate levels and for existing industry professionals as part of their continuous professional development.

The book covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and the fault identification process using motor currents electrical signature analysis. It aims to present a new non-invasive and non-intrusive condition monitoring system, which has the capability to detect various defects in induction motor at incipient stages within an arbitrary noise conditions. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor.

The book covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and the fault identification process using motor currents electrical signature analysis. It aims to present a new non-invasive and non-intrusive condition monitoring system, which has the capability to detect various defects in induction motor at incipient stages within an arbitrary noise conditions. The performance of the developed system has been analyzed theoretically and experimentally under various loading conditions of the motor.