Results 141 to 150 of about 2,833,519 (189)
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Probability of Equipment Failure When Tolerances are Incorrect
Technometrics, 1972This report describes an investigation of how errors in components of an assembly can affect its performance. In particular the report deals with the situation, uncommon in engineering practice, where the output tolerance of the assembly may be violated even though the tolerances on the components are all met. This situation is analyzed to estimate the
Lance W. Jayne, Edward W. Ross
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Zinc whiskers: hidden cause of equipment failure
IT Professional, 2004If you manage a data center, especially one that sits on a raised floor, zinc whiskers might eventually have an impact on your operations. Zinc whiskers, as the name implies, are tiny hair-like filaments of zinc that actually grow from certain zinc-coated metal surfaces.
Jay Brusse, Michael Sampson
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Failure function matrix for interconnected equipment failure analysis
International Journal of Industrial and Systems Engineering, 2023Amanuel Amare Gebrekidan +1 more
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Analysing equipment failure rates
International Journal of Quality & Reliability Management, 1996Reports on recent research at NORWEB, concerned with rationalizing the company′s equipment replacement policies which has focused on the failure rates of 11kV/415V pole mounted transformers. Results confirm that the Gumbel distribution provides a much more convincing statistical representation for these fault data than the usual Weibull option.
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Selecting Equipment for Failure Analysis
SAE Technical Paper Series, 1979<div class="htmlview paragraph">For every failure, whether at the field test site or with the customer, there is a related cause. It is imperative that the exact cause be determined in order that appropriate corrective action may be taken. The field test engineer is immediately faced with deciding where the analysis shall be performed.
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Equipment failure rate updating—Bayesian estimation
Journal of Hazardous Materials, 2008The paper presents a Bayes' method for augmenting generic equipment failure data with a prior distribution - predicated on the evidence, e.g., plant data - resulting in a posterior distribution. The depth of the evidence is significant in shaping the characteristics of the posterior distribution.
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Equipment Failures and Investigations
2021Bryan E. Knepper, Stephen E. Petty
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Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research
Sustainability, 2023Fan Yisa, Han Peng, Linjian Shangguan
exaly