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El. knyga: Introduction to Predictive Maintenance

4.00/5 (11 ratings by Goodreads)
(Integrated Systems Inc., Knoxville, TN, USA)
  • Formatas: PDF+DRM
  • Serija: Plant Engineering
  • Išleidimo metai: 24-Oct-2002
  • Leidėjas: Butterworth-Heinemann Ltd
  • Kalba: eng
  • ISBN-13: 9780080478692
Kitos knygos pagal šią temą:
Introduction to Predictive MaintenanceDidesnis paveikslėlis
  • Formatas: PDF+DRM
  • Serija: Plant Engineering
  • Išleidimo metai: 24-Oct-2002
  • Leidėjas: Butterworth-Heinemann Ltd
  • Kalba: eng
  • ISBN-13: 9780080478692
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Predictive maintenance is defined as a condition-driven preventive maintenance program that uses such monitoring techniques as vibration monitoring, process parameter modeling, thermography, tribology, and visual inspection to determine the best scheduling for machine repair in industrial plants. Mobley (president, Integrated Systems, Inc.) describes these and other techniques and explains how to incorporate them into a comprehensive plant-wide maintenance program using analytical tools and organizational strategies. Annotation c. Book News, Inc., Portland, OR (booknews.com)

This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and implement a comprehensive maintenance management program, providing proven strategies for regularly monitoring critical process equipment and systems, predicting machine failures, and scheduling maintenance accordingly.

Since the publication of the first edition in 1990, there have been many changes in both technology and methodology, including financial implications, the role of a maintenance organization, predictive maintenance techniques, various analyses, and maintenance of the program itself. This revision includes a complete update of the applicable chapters from the first edition as well as six additional chapters outlining the most recent information available.

Having already been implemented and maintained successfully in hundreds of manufacturing and process plants worldwide, the practices detailed in this second edition of An Introduction to Predictive Maintenance will save plants and corporations, as well as U.S. industry as a whole, billions of dollars by minimizing unexpected equipment failures and its resultant high maintenance cost while increasing productivity.

* A comprehensive introduction to a system of monitoring critical industrial equipment
* Optimize the availability of process machinery and greatly reduce the cost of maintenance
* Provides the means to improve product quality, productivity and profitability of manufacturing and production plants

Recenzijos

"Mobley has written several books on individual predictive technologies and is a leading consultant on industrial maintenance practices. His latest book will satisfy anyone who wants to understand and begin implementation of predictive maintenance." --Plant Engineering, March 2003

"The primary audience for this book will be plant managers, process engineers, and managers of maintenance operations, but the book provides useful backround information for anyone interested in the maintenance issues involved in keeping manufacturing operations running efficiently." --JCT Coatings Tech, March 2004

Daugiau informacijos

Increase machine up-time and minimize costly repairs with the comprehensive processes outlined in this book.
Impact of Maintenance
1(22)
Maintenance Management Methods
2(8)
Run-to-Failure Management
2(1)
Preventive Maintenance
3(1)
Predictive Maintenance
4(2)
Other Maintenance Improvement Methods
6(4)
Optimizing Predictive Maintenance
10(13)
Culture Change
10(2)
Proper Use of Predictive Technologies
12(5)
It Takes More Than Effective Maintenance
17(3)
Small Plants
20(1)
Large Plants
21(2)
Financial Implications and Cost Justification
23(20)
Assessing the Need for Condition Monitoring
24(1)
Cost Justification
25(4)
Poor-Quality Product as Plant Performance Deteriorates
27(1)
Increased Cost of Fuel and Other Consumables as the Plant Condition Deteriorates
27(1)
Cost of Current Maintenance Strategy
27(2)
Justifying Predictive Maintenance
29(3)
Installation Cost
29(2)
Operating Cost
31(1)
Conclusions
31(1)
Economics of Preventive Maintenance
32(11)
Benefits versus Costs
33(10)
Role of Maintenance Organization
43(17)
Maintenance Mission
43(1)
Optimum Availability
43(1)
Optimum Operating Condition
44(1)
Maximum Utilization of Maintenance Resources
44(1)
Optimum Equipment Life
44(1)
Minimum Spares Inventory
44(1)
Ability to React Quickly
44(1)
Evaluation of the Maintenance Organization
44(6)
Three Types of Maintenance
45(5)
Designing a Predictive Maintenance Program
50(10)
Failure Data
51(1)
Improving Equipment Reliability
52(2)
Improvement Process
54(1)
Failures That Can Be Prevented
55(1)
Maintenance to Prevent Failures
55(1)
Personnel
56(1)
Service Teams
56(2)
How to Start
58(2)
Benefits of Predictive Maintenance
60(14)
Primary Uses of Predictive Maintenance
61(13)
As a Maintenance Management Tool
61(8)
As a Plant Optimization Tool
69(1)
As a Reliability Improvement Tool
69(1)
The Difference
70(1)
Benefits of a Total-Plant Predictive Program
70(4)
Machine-Train Monitoring Parameters
74(25)
Drivers
75(3)
Electric Motors
75(2)
Steam Turbines
77(1)
Intermediate Drives
78(8)
Chains
78(1)
Couplings
79(2)
Gearboxes
81(2)
V-Belts
83(3)
Driven Components
86(13)
Compressors
86(6)
Fans
92(1)
Generators
93(1)
Process Rolls
94(1)
Pumps
95(4)
Predictive Maintenance Techniques
99(15)
Vibration Monitoring
99(6)
Technology Limitations
100(5)
Thermography
105(3)
Types of Thermographic Systems
106(1)
Infrared Thermography Safety
107(1)
Tribology
108(3)
Lube Oil Analysis
108(1)
Wear Particle Analysis
109(1)
Limitations of Tribology
109(2)
Visual Inspections
111(1)
Ultrasonics
111(1)
Other Techniques
112(2)
Electrical Testing
112(2)
Vibration Monitoring and Analysis
114(58)
Vibration Analysis Applications
114(3)
Predictive Maintenance
115(1)
Acceptance Testing
115(1)
Quality Control
116(1)
Loose or Foreign Parts Detection
116(1)
Noise Control
116(1)
Leak Detections
116(1)
Aircraft Engine Analyzers
116(1)
Machine Design and Engineering
116(1)
Vibration Analysis Overview
117(5)
Theoretical Vibration Profiles
117(1)
Actual Vibration Profiles
118(2)
Interpretation of Vibration Data
120(1)
Vibration-Measuring Equipment
121(1)
Vibration Sources
122(3)
Rotating Machinery
122(2)
Reciprocating and/or Linear-Motion Machinery
124(1)
Vibration Theory
125(7)
Periodic Motion
125(4)
Measurable Parameters
129(3)
Machine Dynamics
132(14)
Mass, Stiffness, and Damping
133(9)
Degrees of Freedom
142(4)
Vibration Data Types and Formats
146(6)
Data Types
146(4)
Data Formats
150(2)
Data Acquisition
152(9)
Vibration Detectors: Transducers and Cables
152(4)
Data Measurements
156(1)
Transducer Mounting Techniques
157(3)
Acquiring Data
160(1)
Vibration Analyses Techniques
161(11)
Trending
161(1)
Comparative Analysis
162(2)
Signature Analysis
164(1)
Appendix 7.1 Abbreviations
165(1)
Appendix 7.2 Glossary
166(5)
Appendix 7.3 References
171(1)
Thermography
172(30)
Infrared Basics
172(2)
Types of Infrared Instruments
174(1)
Infrared Thermometers
174(1)
Line Scanners
175(1)
Infrared Imaging
175(1)
Training
175(1)
Basic Infrared Theory
176(2)
Electromagnetic Spectrum
176(1)
Heat Transfer Concepts
177(1)
Infrared Equipment
178(1)
Infrared Thermography Safety
179(1)
Infrared Scanning Procedures
179(1)
Types of Infrared Problems
179(23)
Mechanical Looseness
180(1)
Component Failure
180(1)
Common Problems Found and What to Scan
180(3)
Appendix 8.1 Abbreviations
183(1)
Appendix 8.2 Glossary
183(4)
Appendix 8.3 Electrical Terminology
187(6)
Appendix 8.4 Materials List
193(9)
Tribology
202(15)
Lubricating Oil Analysis
203(5)
Oil Analysis Tests
203(2)
Wear Particle Analysis
205(2)
Ferrography
207(1)
Oil Analysis Costs and Uses
207(1)
Setting Up an Effective Program
208(9)
Equipment Audit
209(2)
Lubricant Audit Process
211(1)
Baseline Signature
212(1)
Monitoring
213(2)
Program Evaluation
215(2)
Process Parameters
217(39)
Pumps
218(7)
Centrifugal Pumps
218(4)
Positive-Displacement Pumps
222(3)
Fans, Blowers, and Fluidizers
225(4)
Centrifugal Fans
225(3)
Blowers or Positive-Displacement Fans
228(1)
Conveyors
229(1)
Pneumatic
229(1)
Chain-Type Mechanical
229(1)
Compressors
229(11)
Centrifugal
229(2)
Rotary-Type Positive Displacement
231(4)
Reciprocating Positive Displacement
235(5)
Mixers and Agitators
240(1)
Dust Collectors
240(1)
Baghouses
240(1)
Cyclonic Separators
240(1)
Process Rolls
241(1)
Gearboxes/Reducers
242(7)
Normal Wear
246(1)
Abnormal Wear
246(3)
Steam Traps
249(1)
Inverters
249(1)
Control Valves
249(2)
Seals and Packing
251(5)
Mechanical Seals
251(3)
Packed Boxes
254(2)
Ultrasonics
256(3)
Ultrasonic Applications
256(1)
Airborne Noise Analysis
256(1)
Leak Detection
257(1)
Materials Testing
257(1)
Types of Ultrasonic Systems
257(1)
Limitations
258(1)
Visual Inspection
259(8)
Visual Inspection Methods
260(3)
Human Senses
261(1)
Sensors
261(2)
Spectrometric Oil Analysis
263(1)
Thresholds
263(4)
Operating Dynamics Analysis
267(18)
It's Not Predictive Maintenance
267(18)
Technology Limitations
268(1)
Limitation to Maintenance Issues
268(1)
Influence of Process Variables
269(1)
Training Limitations
270(1)
Understanding Machine Dynamics
271(10)
Interpreting Operating Dynamics
281(4)
Failure-Mode Analysis
285(40)
Common General Failure Modes
286(15)
Critical Speeds
286(2)
Imbalance
288(2)
Mechanical Looseness
290(3)
Misalignment
293(1)
Modulations
294(2)
Process Instability
296(1)
Resonance
297(4)
Failure Modes by Machine-Train Component
301(24)
Bearings: Rolling Element
302(1)
Bearings: Sleeve (Babbitt)
303(1)
Chains and Sprockets
304(2)
Gears
306(3)
Jackshafts and Spindles
309(3)
Process Rolls
312(6)
Shaft
318(1)
V-Belts
318(7)
Establishing a Predictive Maintenance Program
325(27)
Goals, Objectives, and Benefits
325(1)
Functional Requirements
326(4)
Management Support
327(1)
Dedicated and Accountable Personnel
327(1)
Efficient Data Collection and Analysis Procedures
327(1)
Viable Database
328(2)
Selling Predictive Maintenance Programs
330(4)
Six Keys to Success
330(4)
Selecting a Predictive Maintenance System
334(9)
Fundamental System Requirements
335(8)
Database Development
343(5)
Establishing Data Acquisition Frequency
343(1)
Setting Up Analysis Parameters
344(1)
Setting Boundaries for Signature Analysis
344(1)
Defining Alert and Alarm Limits
345(1)
Selecting Transducers
346(2)
Getting Started
348(4)
Training
349(1)
Technical Support
350(2)
A Total-Plant Predictive Maintenance Program
352(37)
The Optimum Predictive Maintenance Program
353(3)
Predictive Technologies
353(2)
The Optimum Predictive Maintenance System
355(1)
Predictive Is Not Enough
356(31)
Effective Planning and Scheduling
356(1)
Preventive Maintenance Tasks
357(16)
Motivation
373(7)
Record Keeping
380(3)
Special Concerns
383(4)
Conclusion
387(2)
Maintaining the Program
389(5)
Trending Techniques
389(1)
Analysis Techniques
390(2)
Broadband Analysis
390(1)
Narrowband Analysis
391(1)
Root-Cause Failure Analysis
392(1)
Additional Training
392(1)
Technical Support
393(1)
Contract Predictive Maintenance Programs
393(1)
World-Class Maintenance
394(38)
What Is World-Class Maintenance?
394(1)
Five Fundamentals of World-Class Performance
395(1)
Improving Equipment Effectiveness
395(1)
Involving Operators in Daily Maintenance
395(1)
Improving Maintenance Efficiency and Effectiveness
396(1)
Educating and Training
396(1)
Designing and Managing Equipment for Maintenance Prevention
396(1)
Competitive Advantage
396(1)
Focus on Quality
397(1)
Focus on Maintenance
398(4)
Overall Equipment Effectiveness
402(4)
Elements of Effective Maintenance
406(6)
Commitment
406(2)
Cost
408(1)
Culture
408(1)
Customer Focus
409(1)
Management Commitment
410(1)
Change
410(1)
Management Philosophy
410(1)
Risk Taking
410(1)
Information
410(1)
Roles
410(1)
Teamwork
410(1)
Strategy
410(1)
Tasks
411(1)
Decision Making
411(1)
Stability
411(1)
Innovation
411(1)
Trust
411(1)
Problem Solving
411(1)
Responsibilities
412(1)
Optimum Availability
412(1)
Optimum Operating Condition
412(1)
Maximum Utilization of Maintenance Resources
412(1)
Optimum Equipment Life
413(1)
Minimum Spares Inventory
413(1)
Ability to React Quickly
413(1)
Three Types of Maintenance
413(6)
Corrective Maintenance
413(1)
Preventive Maintenance
414(1)
Maintenance Improvement
415(1)
Advantages and Disadvantages
416(3)
Supervision
419(5)
Functions of Supervision
419(2)
Characteristics of Effective Supervision
421(1)
Working without Supervision
422(2)
Standard Procedures
424(2)
Reasons for Not Using Standard Procedures
424(1)
Creating Standard Procedures
425(1)
Standard Procedures Are Not Enough
426(1)
Workforce Development
426(6)
Lack of Basic Skills
426(1)
Workforce Maturity
426(1)
Unskilled Workforce Pool
427(1)
Manufacturing Extension Partnership
427(1)
U.S. Department of Labor Employment and Training Administration
428(1)
Apprenticeship Programs
428(1)
Training Grants
429(3)
America's Job Bank
432


Mr. Mobley is president and CEO of Integrated Systems Inc. of Knoxville, Tenn. He has written numerous publications on such topics as plant performance, maintenance engineering, maintenance management, and predictive maintenance. He is also a contributing editor for Plant Services magazine.
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