Isbn: 9780471729990 - intelligent fault diagnosis and prognosis for engineering systems (21 risultati)

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: new.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Hardback. Condizione: New. Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis Intelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment, and also presents strategies to detect faults or incipient failures and predict the remaining useful life of failing components. Case studies are used throughout the book to illustrate enabling technologies. Intelligent Fault Diagnosis and Prognosis for Engineering Systems offers material in a holistic and integrated approach that addresses the various interdisciplinary components of the field--from electrical, mechanical, industrial, and computer engineering to business management. This invaluably helpful book: * Includes state-of-the-art algorithms, methodologies, and contributions from leading experts, including cost-benefit analysis tools and performance assessment techniques * Covers theory and practice in a way that is rooted in industry research and experience * Presents the only systematic, holistic approach to a strongly interdisciplinary topic. …

Condizione: New. pp. xxii + 434 Illus.

Condizione: New. Machine Fault Diagnosis and Prognosis presents the basic foundations for fault diagnosis and prognosis and the newly emerging discipline of "intelligent maintenance and condition-based diagnosis. Num Pages: 456 pages, Illustrations. BIC Classification: TGB. Category: (P) Professional & Vocational. Dimension: 166 x 242 x 31. Weight in Grams: 852. . 2006. 1st Edition. Hardcover. . . . . …

Condizione: New. pp. xxii + 434.

Gebunden. Condizione: New. George Vachtsevanos, Phd, is Director of the Intelligent Control Systems Laboratory in the School of Electrical and Computer Engineering at Georgia Institute of Technology, in Atlanta, Georgia.Frank L. Lewis, Phd, is Head of the Advanced Controls, Sensors, .

Hardcover. Condizione: Brand New. 1st edition. 456 pages. 9.50x6.50x1.00 inches. In Stock.

Buch. Condizione: Neu. Neuware - Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosisIntelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment, and also presents strategies to detect faults or incipient failures and predict the remaining useful life of failing components. Case studies are used throughout the book to illustrate enabling technologies.Intelligent Fault Diagnosis and Prognosis for Engineering Systems offers material in a holistic and integrated approach that addresses the various interdisciplinary components of the field--from electrical, mechanical, industrial, and computer engineering to business management. This invaluably helpful book:\* Includes state-of-the-art algorithms, methodologies, and contributions from leading experts, including cost-benefit analysis tools and performance assessment techniques\* Covers theory and practice in a way that is rooted in industry research and experience\* Presents the only systematic, holistic approach to a strongly interdisciplinary topic.…

Condizione: New. Machine Fault Diagnosis and Prognosis presents the basic foundations for fault diagnosis and prognosis and the newly emerging discipline of "intelligent maintenance and condition-based diagnosis. Num Pages: 456 pages, Illustrations. BIC Classification: TGB. Category: (P) Professional & Vocational. Dimension: 166 x 242 x 31. Weight in Grams: 852. . 2006. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Hardback. Condizione: New. Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis Intelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment, and also presents strategies to detect faults or incipient failures and predict the remaining useful life of failing components. Case studies are used throughout the book to illustrate enabling technologies. Intelligent Fault Diagnosis and Prognosis for Engineering Systems offers material in a holistic and integrated approach that addresses the various interdisciplinary components of the field--from electrical, mechanical, industrial, and computer engineering to business management. This invaluably helpful book: * Includes state-of-the-art algorithms, methodologies, and contributions from leading experts, including cost-benefit analysis tools and performance assessment techniques * Covers theory and practice in a way that is rooted in industry research and experience * Presents the only systematic, holistic approach to a strongly interdisciplinary topic. …

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: new. Hardcover. Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis Intelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment, and also presents strategies to detect faults or incipient failures and predict the remaining useful life of failing components. Case studies are used throughout the book to illustrate enabling technologies. Intelligent Fault Diagnosis and Prognosis for Engineering Systems offers material in a holistic and integrated approach that addresses the various interdisciplinary components of the field--from electrical, mechanical, industrial, and computer engineering to business management. This invaluably helpful book: * Includes state-of-the-art algorithms, methodologies, and contributions from leading experts, including cost-benefit analysis tools and performance assessment techniques * Covers theory and practice in a way that is rooted in industry research and experience * Presents the only systematic, holistic approach to a strongly interdisciplinary topic Machine Fault Diagnosis and Prognosis presents the basic foundations for fault diagnosis and prognosis and the newly emerging discipline of "intelligent maintenance and condition-based diagnosis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condizione: Brand New. 1st edition. 456 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.

Condizione: New. PRINT ON DEMAND pp. xxii + 434.