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T-141:2020 Edition

T-141:2020 Edition

$29.25

Aerospace Predictive Maintenance

Published By Publication Date Number of Pages
SAE 2020-12-30 140
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Aerospace Predictive Maintenance: Fundamental Concepts, written by longtime practitioner Charles E. Dibsdale based in the UK, considers PdM a subset of
Condition Based Maintenance (CBM), and must obey the same underlying rules
and pre-requisites that apply to it. Yet, PdM is new because it takes advantage of
emerging digital technology in sensing, acquiring data, communicating the data,
and processing it. This capability can autonomously analyse the data and send
alerts and advice to decision makers, potentially reducing through-life cost and
improving safety.

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.

Aerospace Predictive Maintenance: Fundamental Concepts covers additional technologies, such as the Industrial Internet of Things (IIOT) that will result in
proliferation of cheap, wireless, ultra-low-power sensors, and will transform PdM
into a more economical option. The book brings in the future possibilities of nano
technology, which can be used for new sensors, micro-robotics for inspections
and self-healing/repairing of systems which can be intergrated with PdM.

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