Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)

Hodge, Richard; Quigley, John; James, Ian; Marshall, Jessica

doi:10.1109/rams.2002.981610

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“…Failure data are examined through different statistical distributions. Their parameters are estimated using ML (maximum likelihood) method [2,3]. ML estimation is used at confidence level of 90%.…”

Section: Introductionmentioning

confidence: 99%

Failure rate analysis of Jaw Crusher: a case study

Sinha

Mukhopadhyay

2019

Sādhanā

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Failure of crusher components has considerable influence on the productivity of a crushing plant. In order to improve performance and operational reliability, its critical components are needed to be identified to make replacement in time before any catastrophic failure happens. Though traditional maintenance practices exist in crushing plants, a methodical analysis of failure trend is imperative to improve operational reliability of this critical equipment. The present paper deals with failure analysis of rock crusher and its critical components using total time on test (TTT)-plot and other statistical tools. TTT-plot has proven to be a useful tool in reliability analysis.

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Section: Introductionmentioning

confidence: 99%