Saturday, 14 September 2013

Reliability Analysis

It is defined as the probability that a given system will perform it’s function adequately for it’s specified period of lifetime under specified operating conditions.
01-reliability-analysis-life time analysis-life time warranty
Common measures are :
1. Failure rate.
2. Mean time between failures(MTBF)
3. Survival percentage.
Failure Rate:
01-the bathtub curve-failure rate vs time - Reliability test-failure analysis-calculate life time of a product
Rate which components of population fail.
R(t)=Ns(t)/Nf(t)
 
Where,
            Ns(t)- No. of components that survived during time ’t’
            Nf(t) – No. of failures that occurred during the same time.
01-web- failure analysis-unexpected failure-operational fracture-failure rate
01-preheater-tube-failure-failure rate-circumferential cracking-probability of failure
Mean time between Failures(MTBF):
01-mtbf-mean time between failures-measurement of reliability-repairable items
The reciprocal of the failure rate(1/λ).
Where
           λ —-Failure rate.
Failure rate = (No.of failure )/(Time period during all components were exposed to failure)

Reliability Analysis:
Failure Mode and Effect Analysis(FMEA)
01-FMEA-failure mode and effect analysis-effective analysis-risk priority number-severity number-probability number-reliability analysis
Purpose :
1. To recommend design changes.
2. To identify design weakness.
3. To help in choosing alternatives.
01-space-shuttle-failure mode-effects-criticality analysis-fmea-reliability test
Four Stages:
Ist Stage – System boundaries and the scope of the analysis is decided.
IInd Stage – Data Collection
                      Ex: Specification,Operating Procedure,Working Conditions.
IIIrd Stage- Preparing the component or parts list.
IVth Stage – Failure frequency and the functions of the part identified,causes of       failures,Failure detection.



01-Bathtub-life span of product-annual failure-mtbf prediction-mathematical model of reliability-improving quality

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