Abstract
Random shocks are a leading cause of equipment failure. The shocks arise because of large variations in parameters like operating load, voltage, pressure, thermal load, hardness, contamination, tolerances on clearances and alignments, among other factors. Frequent inspections can help detect deterioration at an early stage and prevent failure. However, inspection is also expensive. The challenge is to develop a model that keeps inspection costs to a minimum while ensuring that the equipment down time is prevented or minimised. This paper first develops a model based on failure due to random shock loads, and then follows it up with a strategy for preventing or minimising such failure at optimum cost.
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