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E-grāmata: Systems Reliability and Usability for Engineers

(University of Ottawa, Canada.)
  • Formāts: 290 pages
  • Izdošanas datums: 18-Mar-2019
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9780429949159
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  • Formāts: 290 pages
  • Izdošanas datums: 18-Mar-2019
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9780429949159

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Engineering systems are an important element of world economy. Each year billions of dollars are spent to develop, manufacture, operate, and maintain various types of engineering systems about the globe. The reliability and usability of these systems have become important because of their increasing complexity, sophistication, and non-specialist users. Global competition and other factors are forcing manufacturers to produce highly reliable and usable engineering systems. Along with examples and solutions, this book integrates engineering systems reliability and usability into a single volume for those individuals that directly or indirectly are concerned with these areas.

Preface xvii
Author xxi
Chapter 1 Introduction 1(10)
1.1 Background
1(1)
1.2 Systems reliability and usability-related facts, figures, and examples
1(2)
1.3 Terms and definitions
3(1)
1.4 Useful sources for obtaining information on reliability and usability
4(2)
1.4.1 Journals and magazines
4(1)
1.4.2 Conference proceedings
4(1)
1.4.3 Books
5(1)
1.4.4 Standards
5(1)
1.4.5 Data sources
6(1)
1.4.6 Organizations
6(1)
1.5 Scope of this book
6(1)
Problems
7(1)
References
8(3)
Chapter 2 Basic mathematical concepts 11(16)
2.1 Introduction
11(1)
2.2 Arithmetic mean and mean deviation
11(2)
2.2.1 Arithmetic mean
12(1)
2.2.2 Mean deviation
12(1)
2.3 Boolean algebra laws
13(1)
2.4 Probability definition and properties
14(1)
2.5 Useful definitions
15(3)
2.5.1 Cumulative distribution function
15(1)
2.5.2 Probability density function
16(1)
2.5.3 Expected value
16(1)
2.5.4 Variance
16(1)
2.5.5 Laplace transform
17(1)
2.5.6 Laplace transform: Final-value theorem
18(1)
2.6 Probability distributions
18(4)
2.6.1 Exponential distribution
19(1)
2.6.2 Binomial distribution
19(1)
2.6.3 Rayleigh distribution
20(1)
2.6.4 Weibull distribution
21(1)
2.6.5 Bathtub hazard rate curve distribution
21(1)
2.7 Solving first-order differential equations using Laplace transforms
22(1)
Problems
23(1)
References
24(3)
Chapter 3 Reliability basics and human factor basics for usability 27(26)
3.1 Introduction
27(1)
3.2 Bathtub hazard rate curve
27(2)
3.3 General reliability analysis-related formulas
29(3)
3.3.1 Failure (or probability) density function
29(1)
3.3.2 Hazard rate function
29(1)
3.3.3 General reliability function
30(1)
3.3.4 Mean time to failure
31(1)
3.4 Reliability networks
32(10)
3.4.1 Series network
32(3)
3.4.2 Parallel network
35(2)
3.4.3 k-out-of-n network
37(1)
3.4.4 Standby system
38(2)
3.4.5 Bridge network
40(2)
3.5 Human factor objectives and typical human behaviors
42(1)
3.6 Types of human-machine systems and human-machine comparisons
43(1)
3.7 Human body dimensions and sensory capacities
44(3)
3.7.1 Sensory capacities
46(9)
3.7.1.1 Sight
46(1)
3.7.1.2 Touch
46(1)
3.7.1.3 Noise (hearing)
47(1)
3.8 Effects of vibrations on humans
47(1)
3.9 Glare and glare reduction and effective illumination levels
48(2)
3.10 Workload and workload index
50(1)
Problems
51(1)
References
51(2)
Chapter 4 Reliability and usability evaluation methods 53(22)
4.1 Introduction
53(1)
4.2 Failure modes and effect analysis (FMEA)
53(2)
4.3 Fault tree analysis (FTA)
55(5)
4.3.1 Fault tree probability evaluation
57(2)
4.3.2 Advantages and disadvantages of the fault tree analysis
59(1)
4.4 Markov method
60(3)
4.5 Cognitive walkthroughs
63(1)
4.6 Cooperative evaluation
63(1)
4.7 Task analysis
64(1)
4.8 Property checklists
65(1)
4.9 Expert appraisals
66(1)
4.10 Probability tree analysis
67(2)
4.11 Cause-and-effect diagram (CAED)
69(2)
Problems
71(1)
References
71(4)
Chapter 5 Robot system and medical equipment reliability 75(24)
5.1 Introduction
75(1)
5.2 Robot failure causes and classifications
75(2)
5.3 Factors dictating robot effectiveness and reliability measures
77(4)
5.3.1 Mean time to robot-related problems
77(1)
5.3.2 Mean time to robot failure (MTTRF)
78(1)
5.3.3 Robot reliability
79(1)
5.3.4 Robot hazard rate
80(1)
5.4 Robot reliability analysis methods and models
81(1)
5.5 Electric and hydraulic robots' reliability analysis
82(7)
5.5.1 Reliability analysis of an electric robot
83(2)
5.5.2 Reliability analysis of a hydraulic robot
85(4)
5.6 Facts and figures related to medical equipment reliability
89(1)
5.7 Medical equipment reliability improvement procedures and methods
90(1)
5.7.1 General approach
90(1)
5.7.2 Parts count method
90(1)
5.7.3 Failure modes and effect analysis (FMEA)
90(1)
5.7.4 Fault tree analysis (FTA)
91(1)
5.7.5 Markov method
91(1)
5.8 Human error in medical equipment
91(1)
5.8.1 Important medical equipment/device operator-related errors
91(1)
5.8.2 Medical devices/equipment with high incidence of human error
92(1)
5.9 Medical equipment maintenance-related indices
92(2)
5.9.1 Index I
93(1)
5.9.2 Index II
93(1)
5.9.3 Index III
93(1)
5.10 Guidelines for reliability and other professionals for improving medical equipment reliability
94(1)
5.11 Sources and organizations for obtaining medical eqipment/device failure-related data
95(1)
Problems
95(1)
References
96(3)
Chapter 6 Transportation system failures and oil and gas industry equipment reliability 99(22)
6.1 Introduction
99(1)
6.2 Mechanical failure-related aviation accidents
100(1)
6.3 Defects in vehicle parts and classifications of vehicle failures
101(1)
6.4 Rail defects and weld failures
102(2)
6.5 Road and rail tanker failure modes failure consequences
104(1)
6.6 Ship failures and their causes
105(1)
6.7 Microanalysis techniques for failure analysis
106(1)
6.7.1 Thermomechanical analysis
106(1)
6.7.2 Thermogravimetric analysis
106(1)
6.7.3 Differential scanning calorimetry (DSC)
106(1)
6.7.4 Fourier transform infrared spectroscopy
107(1)
6.8 Mechanical seal failure
107(1)
6.8.1 Typical failure modes for mechanical seals and their causes
107(1)
6.9 Optical connector failures
108(1)
6.10 Corrosion-related failures
109(2)
6.10.1 Types of corrosion/degradation that can cause failure
110(1)
6.10.2 Corrosion- and condition-monitoring methods
111(1)
6.11 Common cause failure defense approach for an oil and gas industry safety instrumented system (SIS)
111(4)
6.11.1 Common cause failure defense approach
112(12)
6.11.1.1 Task 1: Scheduling
112(1)
6.11.1.2 Task 2: Preparation, execution, and restoration
112(1)
6.11.1.3 Task 3: Failure reporting
113(1)
6.11.1.4 Task 4: Failure analysis
114(1)
6.11.1.5 Task 5: Implementation
114(1)
6.11.1.6 Task 6: Validation and continuous improvements
114(1)
6.12 Oil and gas pipeline fault tree analysis
115(3)
Problems
118(1)
References
119(2)
Chapter 7 Computer system and Internet reliability and software bugs in computer systems 121(18)
7.1 Introduction
121(1)
7.2 Factors related to computer system reliability issues and sources of computer failure
122(1)
7.3 Computer-related fault catagories and reliability measures
123(1)
7.4 Fault masking
124(3)
7.4.1 Triple modular redundancy (TMR)
124(2)
7.4.2 N-modular redundancy (NMR)
126(1)
7.5 Internet facts, statistics, and failure examples, and observations related to Internet reliability
127(1)
7.6 Classifications of Internet-related outages and an approach for automating fault detection in Internet services
128(2)
7.7 Mathematical models for performing Internet reliability and availability analysis
130(4)
7.7.1 Model I
130(2)
7.7.2 Model II
132(2)
7.8 Methods for preventing programmers from introducing bugs during the software-writing process
134(1)
7.9 Metrics related to software errors
134(2)
7.9.1 Metric 1: Fault density
134(1)
7.9.2 Metric 2: Defect density
135(1)
7.9.3 Metric 3: Defect indices
135(1)
Problems
136(1)
References
136(3)
Chapter 8 Power system and mining equipment reliability 139(24)
8.1 Introduction
139(1)
8.2 Power system reliability-related terms and definitions
139(1)
8.3 Service performance-related indexes
140(1)
8.3.1 Index I
140(1)
8.3.2 Index II
140(1)
8.3.3 Index III
140(1)
8.3.4 Index IV
141(1)
8.4 Loss-of-load probability (LOLP)
141(1)
8.5 Mathematical models for performing availability analysis of a single generator unit
142(4)
8.5.1 Model I
142(2)
8.5.2 Model II
144(2)
8.6 Mathematical models for performing availability analysis of transmission and associated systems
146(5)
8.6.1 Model I
146(2)
8.6.2 Model II
148(3)
8.7 Reasons for improving mining equipment reliability and factors affecting mining system reliability
151(1)
8.8 Mining equipment reliability measures
152(1)
8.9 Programmable electronic mining system failures
153(1)
8.9.1 Systematic failures
154(1)
8.9.2 Random hardware failures
154(1)
8.10 Methods for measuring winder rope degradation
154(2)
8.10.1 Visual inspection method
155(1)
8.10.2 Nondestructive testing method
155(1)
8.11 Dump-truck tire reliability and the factors affecting their life
156(1)
8.12 Open-pit-system reliability
157(3)
8.12.1 Open-pit-series system
157(2)
8.12.2 Open-pit-parallel system
159(1)
Problems
160(1)
References
161(2)
Chapter 9 Usability engineering life-cycle stages and important associated areas 163(14)
9.1 Introduction
163(1)
9.2 Usability engineering life-cycle stages
163(4)
9.2.1 Stage I: Knowing about all potential users
164(1)
9.2.2 Stage II: Carrying out competitive analysis
164(1)
9.2.3 Stage III: Establishing appropriate usability goals
165(1)
9.2.4 Stage IV: Carrying out parallel designs
165(1)
9.2.5 Stage V: Carrying out participatory design
165(1)
9.2.6 Stage VI: Coordinating the entire user interface
165(1)
9.2.7 Stage VII: Applying guidelines
166(1)
9.2.8 Stage VIII: Prototyping
166(1)
9.2.9 Stage IX: Carrying out interface evaluation
166(1)
9.2.10 Stage X: Performing iterative design
166(1)
9.2.11 Stage XI: Obtaining data from actual field applications
167(1)
9.3 Fundamental features of design for usability and usability- related actions during system design phases
167(2)
9.4 Usability-related myths and factors affecting usability within organizations
169(2)
9.5 Nonfunctional system development project requirements and their impact on usability and usability performance measures
171(1)
9.6 Usability advantages
172(1)
Problems
173(1)
References
174(3)
Chapter 10 Usability testing and costing 177(20)
10.1 Introduction
177(1)
10.2 Usability testing goals, limitations, and advantages
177(1)
10.3 Usability testing elements, test plans, and test budgets
178(2)
10.4 Types of usability-related tests
180(1)
10.5 Usability test performance stages
181(7)
10.5.1 Stage I: Test plan development
181(1)
10.5.2 Stage II: User-participant selection
182(1)
10.5.3 Stage III: Test material preparation
183(3)
10.5.4 Stage IV: Actual test performance
186(1)
10.5.5 Stage V: Participant debriefing
186(1)
10.5.6 Stage VI: Data analysis and recommendations
187(1)
10.6 Usability cost-related facts and figures
188(1)
10.7 Usability engineering-related activities and costs
189(1)
10.8 Costs of ignoring usability and models when estimating usability engineering costs
190(3)
10.8.1 Model I
191(1)
10.8.2 Model II
191(1)
10.8.3 Model III
192(1)
10.8.4 Model IV
193(1)
Problems
193(1)
References
194(3)
Chapter 11 Software and web usability 197(24)
11.1 Introduction
197(1)
11.2 The need to consider usability during software development and software usability engineering
197(2)
11.3 Steps for improving usability of software products
199(3)
11.4 Software usability inspection methods and their selection-related considerations
202(1)
11.5 Software usability testing methods, and important factors with respect to such methods
203(1)
11.6 Useful guidelines for conducting software usability testing
204(1)
11.7 Web usability-related facts and figures
205(1)
11.8 Common web design-related errors
206(1)
11.9 Web page design
206(4)
11.9.1 Font usage
207(1)
11.9.2 Page size
208(1)
11.9.2.1 Page downloading speed
208(1)
11.9.2.2 Page flexibility
208(1)
11.9.3 Help for users
208(1)
11.9.4 Textual element usage
209(1)
11.9.5 Image usage
209(1)
11.10 Website design
210(2)
11.10.1 Site testing and maintenance
211(1)
11.10.2 Site organization
211(1)
11.10.3 Shared elements of website pages
211(1)
11.11 Navigation aids
212(3)
11.11.1 Navigation bar usage
213(1)
11.11.2 Usage of menus and menu bars
214(1)
11.11.3 Link usage
214(1)
11.12 Tools for evaluating web usability
215(2)
11.12.1 NetRaker
215(1)
11.12.2 Lift
215(1)
11.12.3 Web SAT
216(1)
11.12.4 Max
216(1)
11.13 Questions for evaluating the effectiveness of website message communication
217(1)
Problems
218(1)
References
219(2)
Chapter 12 Medical device usability and user errors 221(22)
12.1 Introduction
221(1)
12.2 Medical device use description, users, use environments, and user interfaces
221(3)
12.3 General approach for developing effective user interfaces of medical devices
224(1)
12.4 Useful guidelines for making medical device interfaces more user-friendly
224(3)
12.5 Designing medical devices for old users
227(1)
12.6 Medical devices with high incidence of user/human error
228(1)
12.7 Facts, figures, and examples on user/operator-related errors
229(1)
12.8 Operator/user error causes and classifications of user errors in human-computer interactive tasks
230(1)
12.9 Common medical device/equipment operator/user errors
230(1)
12.10 Methods for performing user error-related analysis
231(8)
12.10.1 Probability tree analysis
231(1)
12.10.2 Failure modes and effect analysis (FMEA)
232(1)
12.10.3 Markov method
232(5)
12.10.3.1 Model I
232(2)
12.10.3.2 Model II
234(3)
12.10.4 Fault tree analysis (FTA)
237(2)
Problems
239(1)
References
240(3)
Chapter 13 Mathematical models for engineering systems reliability analysis and usability assurance 243(22)
13.1 Introduction
243(1)
13.2 Model I
243(2)
13.3 Model II
245(3)
13.4 Model III
248(3)
13.5 Model IV
251(2)
13.6 Model V
253(4)
13.7 Model VI
257(1)
13.8 Model VII
257(1)
13.9 Model VIII
258(1)
13.10 Model IX
258(1)
13.11 Model X
258(1)
13.12 Model XI
259(1)
13.13 Model XII
260(1)
13.14 Model XIII
260(1)
13.15 Model XIV
261(1)
13.16 Model XV
261(1)
Problems
261(1)
References
262(3)
Index 265
Dr. B.S. Dhillon is a professor of Engineering Management in the Department of Mechanical Engineering at the University of Ottawa. He has served as a Chairman/Director of Mechanical Engineering Department/Engineering Management Program for over 10 years at the same institution. He is the founder of the probability distribution named Dhillon Distribution/Law/Model by statistical researchers in their publications around the world. He has published over 371 {(i.e., 223( 70 single authored + 153 co-authored) journal and 148 conference proceedings} articles on reliability engineering, maintainability, safety, engineering management, etc. He is or has been on the editorial boards of 12 international scientific journals. In addition, Dr. Dhillon has written 45 books on various aspects of health care, engineering management, design, reliability, safety, and quality published by Wiley (1981), Van Nostrand (1982), Butterworth (1983), Marcel Dekker (1984), Pergamon (1986), etc. His books are being used in over 100 countries and many of them are translated into languages such as German, Russian, Chinese, and Persian (Iranian).He has served as General Chairman of two international conferences on reliability and quality control held in Los Angeles and Paris in 1987. Prof. Dhillon has also served as a consultant to various organizations and bodies and has many years of experience in the industrial sector. At the University of Ottawa, he has been teaching reliability, quality, engineering management, design, and related areas and he has also lectured in over 50 countries, including keynote addresses at various international scientific conferences held in North America, Europe, Asia, and Africa. In March 2004, Dr. Dhillon was a distinguished speaker at the Conf./Workshop on Surgical Errors (sponsored by White House Health and Safety Committee and Pentagon), held at the Capitol Hill (One Constitution Avenue, Washington, D.C.). Professor Dhillon attended the University of Wales where he received a BS in electrical and electronic engineering and an MS in mechanical engineering. He received a Ph.D. in industrial engineering from the University of Windsor.