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Tables of Contents for Systems Maintainability
Chapter/Section Title
Page #
Page Count
Preface
xiii
4
Acknowledgements
xvii
PART ONE Concept of Maintainability
1
38
1. Introduction
3
20
1.1 Concept of a system
4
2
1.2 Concept of functionability
6
1
1.3 Concept of a functionability profile
7
3
1.4 Importance of availability
10
2
1.5 Concept of maintainability
12
1
1.6 Maintainability impact on availability
13
4
1.7 Maintainability impact on safety
17
1
1.8 Undesirable maintainability practices
18
2
1.9 Desirable maintainability practices
20
2
1.10 Closing remarks
22
1
2. Maintainability and systems effectiveness
23
16
2.1 Life cycle process
24
5
2.2 Life cycle cost
29
3
2.3 Systems technical effectiveness
32
1
2.4 Systems operational effectiveness
33
1
2.5 Closing remarks
33
1
2.6 Case study: maintainability effectiveness of Airbus A330
34
5
PART TWO Maintenance Analysis
39
78
3. Maintenance tasks
41
11
3.1 Concept of a maintenance task
41
3
3.2 Maintenance task classification
44
1
3.3 Corrective maintenance tasks
44
1
3.4 Preventive maintenance tasks
44
2
3.5 Conditional maintenance tasks
46
3
3.6 Case study
49
3
4. Duration of maintenance tasks
52
20
4.1 Maintainability function
56
1
4.2 Mean duration of a maintenance task
56
1
4.3 Variance of duration of a maintenance task
57
1
4.4 Well-known theoretical distributions
57
14
4.5 Closing remarks
71
1
5. Cost of maintenance tasks
72
3
5.1 Direct cost of maintenance tasks
72
3
6. Frequency of maintenance tasks
75
9
6.1 Frequency of corrective maintenance tasks
75
3
6.2 Frequency of preventive maintenance tasks
78
1
6.3 Minimum cost as an optimization criterion
78
2
6.4 Maximum availability as an optimization criterion
80
1
6.5 Required reliability as an optimization criterion
80
2
6.6 Optimal frequency for a conditional maintenance task
82
2
7. Maintenance cost
84
4
7.1 Cost of a maintenance process
84
1
7.2 Fixed and variable costs
85
1
7.3 Direct, indirect and overhead costs
86
1
7.4 Initial maintenance cost
86
1
7.5 Opportunity cost
86
1
7.6 Cast study: Pratt & Whitney JT8D engine
87
1
8. Maintenance concept
88
8
8.1 Organizational/user level
88
1
8.2 Intermediate level
88
1
8.3 Depot/producer level
89
2
8.4 COTS/NDI intensive systems
91
1
8.5 In-house and outside maintenance
92
2
8.6 Cast study: RAF maintenance concepts and depot repair
94
2
9. Maintenance policies
96
11
9.1 Failure-based maintenance policy
97
2
9.2 Life-based maintenance policy
99
2
9.3 Inspection-based maintenance policy
101
1
9.4 Examination-based maintenance policy
102
3
9.5 Case study: RAF maintenance analysis -- fixed life or on condition
105
2
10. Cost of maintenance policy
107
10
10.1 Cost of failure-based maintenance policy
107
3
10.2 Cost of life-based maintenance policy
110
2
10.3 Cost of inspection-based maintenance policy
112
1
10.4 Cost of examination-based maintenance policy
113
4
PART THREE Maintainability Analysis
117
28
11. Maintainability measures
119
6
11.1 Probability of task completion
119
1
11.2 Mean duration of maintenance task
119
1
11.3 DMT(p) duration of maintenance task
120
1
11.4 Variability of duration of maintenance task
121
1
11.5 Success of task completion
121
2
11.6 Maintenance personnel demand per maintenance task
123
2
12. Maintainability statistics
125
20
12.1 Time in maintenance
126
6
12.2 Mean time to restore an item
132
4
12.3 Maintenance hours per operational unit
136
1
12.4 Maintenance personnel demand per restoration task
137
1
12.5 System-based maintainability statistics
138
2
12.6 Mean time to restore a system
140
1
12.7 Maintenance personnel demand per maintenance task
141
2
12.8 Maintenance hours per system operational hour
143
2
PART FOUR Maintainability Engineering
145
98
13. Maintainability engineering
147
15
13.1 Role of the maintainability engineering function
148
1
13.2 Maintainability engineering function opportunities
149
1
13.3 Maintainability engineering function obstacles
150
1
13.4 Design methods for attaining maintainability
151
8
13.5 Maintainability lessons learned
159
3
14. Maintainability allocation
162
11
14.1 Concept of maintainability allocation
163
1
14.2 Defence Standard 00-41
164
1
14.3 Military Standard 470B
164
1
14.4 Published literature
165
2
14.5 British Standard 6548
167
2
14.6 Linear-programming-based allocation method
169
2
14.7 Closing remarks
171
2
15. Maintainability anthropometric analysis
173
7
15.1 General description
173
1
15.2 Identification of user population
174
1
15.3 Identification of user anthropometric data
174
1
15.4 Analysis of engineering drawings
175
1
15.5 Computer-aided design tools
176
1
15.6 System mock-up analysis
176
1
15.7 Validation of anthropometric analysis
176
1
15.8 Prototype operational trials
176
1
15.9 Demonstration and operational testing
177
1
15.10 Closing remarks
177
3
16. Testability analysis
180
14
16.1 Built-in-test (BIT)
180
7
16.2 Built-in-test-equipment (BITE)
187
2
16.3 The concept of databus
189
2
16.4 Case study: advanced maintenance techniques in the Boeing 777
191
3
17. Condition monitoring techniques
194
12
17.1 Vibration monitoring
195
1
17.2 Tribology monitoring
196
1
17.3 Performance monitoring
197
1
17.4 Visual inspection
198
1
17.5 Non-destructive testing techniques
198
3
17.6 Case study: aircraft engine condition monitoring
201
5
18. Prediction of maintainability measures
206
21
18.1 Maintenance activity block diagram
208
3
18.2 Maintainability measures for simultaneous maintenance tasks
211
1
18.3 Maintainability measures for sequential maintenance tasks
212
2
18.4 Maintainability measures for combined maintenance tasks
214
1
18.5 Case study
215
5
18.6 Analysis of complex maintenance tasks
220
3
18.7 Illustrative example
223
2
18.8 Conclusion
225
2
19. Prediction of maintainability statistics
227
16
19.1 Concept of cumulative functional length
227
1
19.2 Probability distribution of cumulative functionable length
228
3
19.3 Well-known distributions
231
4
19.4 Number of corrective maintenance tasks
235
8
PART FIVE Maintainability Management
243
84
20. Maintainability management
244
11
20.1 Maintainability design reviews
247
2
20.2 Impact of maintainability requirements on design
249
1
20.3 Managing systems maintainability in future
250
3
20.4 Closing remarks
253
2
21. Systems maintenance model
255
13
21.1 Selection of optimal maintenance tasks
257
1
21.2 Mathematical models
258
1
21.3 MIRCE maintenance model
259
3
21.4 Algorithm for the selection of the optimal maintenance policy for USIs
262
2
21.5 Case study: reliability centred maintenance
264
4
22. Assessment of maintainability field data
268
50
22.1 Probability distribution of empirical data
269
10
22.2 Selection of theoretical distribution
279
2
22.3 Graphical determination of distribution function parameters
281
3
22.4 Analytical determination of distribution function parameters
284
1
22.5 Exponential distribution
285
6
22.6 Normal distribution
291
5
22.7 Lognormal distribution
296
6
22.8 Weibull distribution
302
8
22.9 Complex distribution
310
2
22.10 Hypothesis testing
312
6
23. Maintainability demonstration test
318
9
23.1 Possible approaches to analysis of existing data
319
1
23.2 Parametric approach to maintainability data
320
2
23.3 Comparison between parametric and distribution methods
322
5
Appendix Table 1: Standardized normal variable
327
1
Appendix Table 2: Median, 5 and 95% rank
337
32
Appendix Table 3: Cumulative probability and corresponding linearized values
369
22
Appendix Table 4: Gamma function
391
3
Appendix Table 5: Kolmogorov-Smirnov test
394
1
References
395
2
Further reading
397
4
Index
401