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Aerospace predictive maintenance : =...
~
Society of Automotive Engineers,
Aerospace predictive maintenance : = fundamental concepts /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Aerospace predictive maintenance :/ Charles E. Dibsdale.
Reminder of title:
fundamental concepts /
Author:
Dibsdale, Charles E.,
Description:
1 online resource (1 PDF (138 pages)
Subject:
TRANSPORTATION / Aviation / Repair & Maintenance. -
Online resource:
https://saemobilus.sae.org/content/T-141/
Online resource:
https://saemobilus.sae.org/content/T-141/
Aerospace predictive maintenance : = fundamental concepts /
Dibsdale, Charles E.,
Aerospace predictive maintenance :
fundamental concepts /Charles E. Dibsdale. - 1 online resource (1 PDF (138 pages) - Society of Automotive Engineers. Electronic publications. - Society of Automotive Engineers.. - SAE technology profile.
Includes bibliographical references.
Chapter 1. An engineer's journey -- Chapter 2. A history of maintenance and how maintenance is done today -- Chapter 3. What is predictive maintenance (PdM) and how does it fit into a maintenance regime? -- Chapter 4. How does PdM fit with integrated vehicle health management (IVHM)? -- Chapter 5. Why is PdM generally better than traditional maintenance? (How to build a business case) -- Chapter 6. How does PdM relate to reliability-centered maintenance (RCM)? -- Chapter 7. What are the key features in a PdM maturity model? -- Chapter 8. Specifying predictive maintenance -- Chapter 9. What are the disadvantages of PdM and how should they be addressed? -- Chapter 10. How PdM will likely transform with the emergence of new technology -- Chapter 11. A summary, future states, and things to look for -- Chapter 12. An example PcM case study using open-source development tools.
Aerospace predictive maintenance: fundamental concepts provides a history of maintenance, and how performance, safety and the environment make direct demands on maintenance to deliver more for less in multiple industries. It also covers Integrated Vehicle Health Management (IVHM) that aims to provide a platformcentric framework for PdM in the mobility domain. The book discusses PdM maturity, offering a context of the transformation of data through information and knowledge. Understanding some of the precepts of knowledge management provides a really useful and powerful perspective on PdM as an information system. On the other hand, Aerospace Predictive Maintenance: Fundamental Concepts also discusses disadvantages of PdM and shows how these may be addressed. One of the fundamental changes PdM implies is a shift from deterministic black-and-white thinking to more nuanced decision making informed by probabilities and uncertainty. Other concerns such as data management, privacy and ownership are tackled as well.
Standard No.: 10.4271/9780768094275doiSubjects--Topical Terms:
1413325
TRANSPORTATION / Aviation / Repair & Maintenance.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: TL553 / .D53 2020eb
Dewey Class. No.: 629.13
Aerospace predictive maintenance : = fundamental concepts /
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Charles E. Dibsdale.
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Chapter 1. An engineer's journey -- Chapter 2. A history of maintenance and how maintenance is done today -- Chapter 3. What is predictive maintenance (PdM) and how does it fit into a maintenance regime? -- Chapter 4. How does PdM fit with integrated vehicle health management (IVHM)? -- Chapter 5. Why is PdM generally better than traditional maintenance? (How to build a business case) -- Chapter 6. How does PdM relate to reliability-centered maintenance (RCM)? -- Chapter 7. What are the key features in a PdM maturity model? -- Chapter 8. Specifying predictive maintenance -- Chapter 9. What are the disadvantages of PdM and how should they be addressed? -- Chapter 10. How PdM will likely transform with the emergence of new technology -- Chapter 11. A summary, future states, and things to look for -- Chapter 12. An example PcM case study using open-source development tools.
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Aerospace predictive maintenance: fundamental concepts provides a history of maintenance, and how performance, safety and the environment make direct demands on maintenance to deliver more for less in multiple industries. It also covers Integrated Vehicle Health Management (IVHM) that aims to provide a platformcentric framework for PdM in the mobility domain. The book discusses PdM maturity, offering a context of the transformation of data through information and knowledge. Understanding some of the precepts of knowledge management provides a really useful and powerful perspective on PdM as an information system. On the other hand, Aerospace Predictive Maintenance: Fundamental Concepts also discusses disadvantages of PdM and shows how these may be addressed. One of the fundamental changes PdM implies is a shift from deterministic black-and-white thinking to more nuanced decision making informed by probabilities and uncertainty. Other concerns such as data management, privacy and ownership are tackled as well.
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Verlag
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