Abstract
Some equipment of special types can be stored for a very long time. During storage, the equipment can be affected by temperature, humidity, mechanical stress, and so on, and the study on their storage reliability is very significant. Many theories and methods are proposed for storage reliability assessment in the literature, but few are applied into practice or verified by the actual conditions of the engineering project. Besides, the performance degradation of the equipment with a long storage time is not evident, the performance degradation model is hard to build. Thus, in this article, a storage reliability assessment method under periodical inspection for the equipment with a long storage time is studied. In the method, the storage reliability curves of “repaired as good as new” and “degenerated after repaired” are constructed to describe the different states of the stored equipment after periodical inspection, the environmental factor is used to deal with the data coming from accelerated life tests, and the study is based on an engineering project, thus the effectiveness can be verified.
Highlights
There is some equipment of special types and they can be stored for a very long time
The equipment can be affected by many kinds of environmental factors such as temperature, humidity, and mechanical stress
Most storage reliability assessment methods construct storage reliability models by analyzing the failure mechanism and performance parameter degradation based on the probability theory,[2,9] but these models may fail when the degradation is not evident
Summary
There is some equipment of special types and they can be stored for a very long time. Storage reliability curves can be described as the state of ‘‘repaired as good as new’’ and ‘‘degenerated after repaired,’’ and characteristic curves under two states are shown in Figures 1 and 2, where R0s is initial reliability and t refers to the testing periodic time For these two states, storage reliability models can be constructed as follows. Assuming the stored equipment will be as good as new after inspected, the storage reliability will return to its initial degree Their failure rates will increase for the remaining components degenerate with different levels of degradation. Parameter estimation of the storage reliability assessment model is based on processed data of humid heat tests.
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