678 kr
Läs direkt efter köp
678 kr
Läs direkt efter köp
678 kr
Läs direkt efter köp
1 067 kr
Läs direkt efter köp
The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science.
The book
Discusses basic as well as advance research in the field of prognostics Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume Covers prognostics and health management (PHM) of engineering systems Discusses latest approaches in the field of prognostics based on machine learningThe text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.
1 067 kr
Läs direkt efter köp
The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science.
The book
Discusses basic as well as advance research in the field of prognostics Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume Covers prognostics and health management (PHM) of engineering systems Discusses latest approaches in the field of prognostics based on machine learningThe text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.
2 095 kr
Skickas inom 10-15 vardagar
908 kr
Skickas inom 10-15 vardagar
2 385 kr
Skickas inom 5-8 vardagar
4 066 kr
Läs direkt efter köp
1 326 kr
Skickas inom 10-15 vardagar
580 kr
Skickas inom 10-15 vardagar
2 197 kr
Skickas inom 10-15 vardagar
2 862 kr
Läs direkt efter köp
2 197 kr
Skickas inom 10-15 vardagar
840 kr
Skickas inom 3-6 vardagar
678 kr
Läs direkt efter köp
678 kr
Läs direkt efter köp
1 067 kr
Läs direkt efter köp
The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science.
The book
Discusses basic as well as advance research in the field of prognostics Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume Covers prognostics and health management (PHM) of engineering systems Discusses latest approaches in the field of prognostics based on machine learningThe text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.
1 067 kr
Läs direkt efter köp
The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science.
The book
Discusses basic as well as advance research in the field of prognostics Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume Covers prognostics and health management (PHM) of engineering systems Discusses latest approaches in the field of prognostics based on machine learningThe text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.
2 095 kr
Skickas inom 10-15 vardagar
908 kr
Skickas inom 10-15 vardagar
2 385 kr
Skickas inom 5-8 vardagar
4 066 kr
Läs direkt efter köp
1 326 kr
Skickas inom 10-15 vardagar
580 kr
Skickas inom 10-15 vardagar
2 197 kr
Skickas inom 10-15 vardagar
2 862 kr
Läs direkt efter köp
2 197 kr
Skickas inom 10-15 vardagar
840 kr
Skickas inom 3-6 vardagar