Reliability Models for Engineers and Scientists

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A01=Mark P. Kaminskiy
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aging systems evaluation
AL
AL Model
american
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Author_Mark P. Kaminskiy
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average
Average Failure Rate
bearing
Category1=Non-Fiction
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Category=PBT
Category=TBC
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CDF
CIF
Competing Risks Model
COP=United States
cumulative
Cumulative Failure Rate
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DFR Distribution
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failure
failure mechanisms modeling
failure process models
Gamma Distribution
Geometric Process
Gini-type index
GRP
HPP
IFR Distribution
kozma
Language_English
manufacturers
mathematical models for system failure
mathematical reliability models
NHPP
NHPP Model
Normal Stress Condition
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Price_€100 and above
Probabilistic Models
prutkov
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rate
Reliability Function
reliability in biological studies
Repairable Objects
risk analysis tools
risk assessment methods
softlaunch
statistical reliability analysis
stochastic processes engineering
Time Dependent Explanatory Variables
Time Dependent Stress
Underlying Distribution
Weibull Distribution
Weibull PDF
Weibull Underlying Distribution

Product details

  • ISBN 9781466565920
  • Weight: 346g
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Nov 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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A discussion of the basic reliability concepts and models, Reliability Models for Engineers and Scientists demystifies modern mathematical reliability models. Requiring very little mathematical background on the reader’s part, this concise book introduces the models by focusing on their physical meaning and the supporting data; it then goes on to provide a wide scope of possible applications.

The book also introduces a new concept of the Gini-type index, which when applied to aging/rejuvenating components (nonrepairable systems) can measure how different a given aging/rejuvenation distribution is compared to the exponential distribution. A similar index is then applied to aging/rejuvenating repairable systems, creating a bridge between the concepts. The chapters discuss models used in reliability, risk analysis, physics of failure, fracture mechanics, biological, pharmaceutical, and medical studies. They comprise an up-to-date, concise, and informative resource on reliability models, which does not require any special mathematical background.

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