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A failed component / system brought back to its functioning state after repair exhibits different failure intensity than before its failure. This happens because the system in which the component is functioning experiences deterioration with age or the component / system is a repaired one which is aged compared to a new component / system. These factors affect the failure intensity of the component...
The paper studies the failure dataset from a fleet of six load-haul-dump machines in a Swedish mine. The data consists of time between successive failures of each machine during a period of two years. Our paper aims to estimate the reliability characteristics of these machines along with the repair efficiency. The effect of early missing data before the beginning of the observation is also mentioned...
The failure processes of a maintained system can be studied from the failure data using imperfect repair models. Additional information on the failure process can also be utilized in the form of covariates using proportional intensity models for getting more realistic results. Both these models can be combined to form imperfect repair proportional intensity models making use of the times to failure...
Most field systems today are maintained systems. Decisions about reliability of these systems are based on field or test failure data. For highly reliable and good quality systems the failures are few and far between. To understand their failure behaviour and reliability characteristics will take a long time. If the prototype systems are subjected to tests with higher levels of stresses leading to...
Either for hardware or software repairable system, reliability analysis is very important. However, failure data analysis for repairable system is not an easy task. The widely used AMSAA model (power law process) is a kind of NHPP, corresponding to minimal repair. According to the variety of the reliability of repairable systems, accounting for the influences of the modification and repair, the repair...
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