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05897nam a22004813i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
EBC28983715 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240703143952.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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240628s2020 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780768099294 |
| Qualifying information |
(electronic bk.) |
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| Cancelled/invalid ISBN |
9780768094275 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(MiAaPQ)EBC28983715 |
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| System control number |
(Au-PeEL)EBL28983715 |
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| System control number |
(OCoLC)1302012831 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
MiAaPQ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| -- |
pn |
| Transcribing agency |
MiAaPQ |
| Modifying agency |
MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TL553 .D49 2020 |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
629.13 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Dibsdale, Charles Edwin. |
| 245 10 - TITLE STATEMENT |
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| Title |
Aerospace Predictive Maintenance. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
1st ed. |
| 264 #1 - |
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| -- |
Warrendale : |
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SAE International, |
| -- |
2020. |
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| -- |
�2020. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource (140 pages) |
| 336 ## - |
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text |
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txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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| -- |
online resource |
| -- |
cr |
| -- |
rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Cover -- CHAPTER 1 An Engineer's Journey -- Who Is This Book Intended For? -- How This Book Is Organized -- Reference -- CHAPTER 2 A History of Maintenance and How Maintenance Is Done Today -- Most Functional Failures in Complex Machinery Are Random -- What Is the Difference between Failure Modes and Failure Mechanisms? -- Intrinsic and Achieved Reliability -- Applied Systems Thinking -- MSG-3 Overview -- Key Take-Away Points -- References -- CHAPTER 3 What Is Predictive Maintenance (PdM) and How Does It Fit into a Maintenance Regime? -- What Are Functions? -- What Are Operating Performance Levels? -- The Major Influences of Failure -- What Is an Operating Context? -- What Is an Operating Environment? -- Who Are Asset Stakeholders? -- A Taxonomy of Maintenance Tasks -- The Taxonomy of Maintenance -- Preventative Maintenance -- Deeper Explanation of PdM -- Levels of Diagnostic Capability -- Diagnostics -- Diagnostic Effectiveness -- Prognostics -- Type 1 Models -- Type 2 Models -- Type 3 Models -- Type 4 Models -- Fallacies and Hype Surrounding PdM -- The 'Real Time' Label of Superior PdM Misunderstanding -- A Data-driven Approach Negates the Need for Engineering Domain Knowledge -- What Is the Difference between Condition Monitoring and Condition-Based Maintenance? -- Immature Systems Are Sold as PdM Systems -- Wasteful Number of Inspections -- How Does PdM Impact Maintenance Planning and Scheduling? -- What Is a Maintenance Schedule? -- What Is a Maintenance Plan? -- Digital Twin -- Key Take-Away Points -- References -- CHAPTER 4 How Does PdM Fit with Integrated Vehicle Health Management (IVHM)? -- What Are Maintenance Credits? -- Key Take-Away Points -- References -- CHAPTER 5 Why Is PdM Generally Better than Traditional Maintenance? (How to Build a Business Case) -- Why Choose On-Condition over Scheduled Discard/Replacement or Restoration?. |
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| Formatted contents note |
Exceptions to the Rule - When Is Scheduled Replacement Better? -- When Should Median and Mean Measures Be Used? -- Why Is the Use of MTBF Persisted? -- Building the Business Case -- Business Cases Built on Reliability-Availability-Maintainability (RAM) Simulation -- Key Take-Away Points -- References -- CHAPTER 6 How Does PdM Relate to Reliability-Centered Maintenance (RCM)? -- How Can Severity of Failure Be Categorized? -- How Can the Likelihood of Failure Be Categorized? -- The Applicability of Weibull Analysis -- FMEA Storage and Tools for Analysis -- Key Take-Away Points -- References -- CHAPTER 7 What Are the Key Features in a PdM Maturity Model? -- Data , Information and Knowledge -- Data Quality -- The Breakdown of PdM into Functional Blocks -- Sense -- Data Sampling Rates -- Acquire -- Transfer -- Analyze -- Learn -- People and Competencies -- Maturity Model -- Key Take-Away Points -- References -- CHAPTER 8 Specifying Predictive Maintenance -- Assumptions -- Basic Requirements -- Key Take-Away Points -- Reference -- CHAPTER 9 What Are the Disadvantages of PdM and How Should They Be Addressed? -- Daniel Kahneman: Thinking Fast, Thinking Slow -- Nassim Nicholas Taleb: Fooled by Randomness -- The Resnikoff Conundrum -- Key Take-Away Points -- References -- CHAPTER 10 How PdM Will Likely Transform with the Emergence of New Technology -- Big Data and Cloud Services -- The Emergence of the Industrial Internet of Things (IIoT) -- Industry 4.0 -- Nanotechnology -- Configuration Management -- The Advent of the Citizen Data-Scientist -- The Apache Software -- Python -- Other Open-Source Capabilities -- Key Take-Away Points -- References -- CHAPTER 11 A Summary, Future States, and Things to Look For -- How Do You Start Implementing PdM? -- PdM Analogies -- Key Take-Away Points -- CHAPTER 12 An Example PdM Case Study Using Open-Source Development Tools. |
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| Formatted contents note |
Plots -- Summary Notes -- Code Notes -- Reference -- Glossary -- Author Bio. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Considers Predictive Maintenance (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. |
| 588 ## - |
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| -- |
Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) |
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| Local note |
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Aeronautics--Safety measures. |
|
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| Topical term or geographic name as entry element |
Avionics--Maintenance and repair. |
|
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| Topical term or geographic name as entry element |
Airplanes--Maintenance and repair. |
| 655 #4 - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Display text |
Print version: |
| Main entry heading |
Dibsdale, Charles Edwin |
| Title |
Aerospace Predictive Maintenance |
| Place, publisher, and date of publication |
Warrendale : SAE International,c2020 |
| International Standard Book Number |
9780768094275 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) |
|---|
| Corporate name or jurisdiction name as entry element |
ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=28983715 |
| Public note |
Click to View |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
E-book |
