This is a self-contained mechanical reliability reference/text book. It covers the probability and statistics background required to plan, conduct, and analyze mechanical reliability experiment test programs. Unfortunately this background is not adequately conveyed by a traditional probability and statistics course for engineers because it (1) does not provide adequate information regarding test planning and the associated details of test conduct, (2) does not employ vector and matrix concepts in stating conceptual statistical models, (3) does not exploit direct analogies between engineering mechanics concepts and probability and statistics concepts, (4) does not exploit the use of microcomputers to perform computer-intensive simulation-based, randomization-based, and enumeration-based statistical analyses, and (5) is woefully inept relative to practical mechanical reliability models. This book attempts to overcome each of these fundamental deficiencies.
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Posted: June 3rd, 2009, 6:04pm CEST
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Mechanical reliability analysis is no longer limited to a small collection of classical statistical analyses. The speed of the present generation of microcomputers makes it possible to program and evaluate alternative computerintensive analyses for each mechanical reliability application of specific interest. Thus computer-intensive analyses are now an indispensable part of improving mechanical reliability.
This is a self-contained mechanical reliability reference/text book. It covers the probability and statistics background required to plan, conduct, and analyze mechanical reliability experiment test programs. Unfortunately this background is not adequately conveyed by a traditional probability and statistics course for engineers because it (1) does not provide adequate information regarding test planning and the associated details of test conduct, (2) does not employ vector and matrix concepts in stating conceptual statistical models, (3) does not exploit direct analogies between engineering mechanics concepts and probability and statistics concepts, (4) does not exploit the use of microcomputers to perform computer-intensive simulation-based, randomization-based, and enumeration-based statistical analyses, and (5) is woefully inept relative to practical mechanical reliability models. This book attempts to overcome each of these fundamental deficiencies.
This is a self-contained mechanical reliability reference/text book. It covers the probability and statistics background required to plan, conduct, and analyze mechanical reliability experiment test programs. Unfortunately this background is not adequately conveyed by a traditional probability and statistics course for engineers because it (1) does not provide adequate information regarding test planning and the associated details of test conduct, (2) does not employ vector and matrix concepts in stating conceptual statistical models, (3) does not exploit direct analogies between engineering mechanics concepts and probability and statistics concepts, (4) does not exploit the use of microcomputers to perform computer-intensive simulation-based, randomization-based, and enumeration-based statistical analyses, and (5) is woefully inept relative to practical mechanical reliability models. This book attempts to overcome each of these fundamental deficiencies.
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