As a new dynamic maintenance strategy, the condition-based opportunistic maintenance strategy for multi-component system is presented in this work. In the strategy, the degeneration of each component is described by Weibull proportional hazards model or Weibull proportional intensity model, and the condition indicator is defined to characterize the operating state of each component. Then, when and how to maintain a component can be confirmed by comparing the value of the condition indicator with that of the maintenance threshold function. Condition-based maintenance will be implemented on a component if the value of its condition indicator exceeds that of its condition-based maintenance threshold function. Meanwhile, opportunistic maintenance will also be implemented on a component if the value of its condition indicator exceeds that of its opportunistic maintenance threshold function. The two maintenance threshold functions can be determined by minimizing maintenance cost. Finally, taking the wind turbine as an example of a multi-component system, simulation analyses are described to validate the feasibility and effectiveness of the condition-based opportunistic maintenance strategy.
In the face of the sudden new crown pneumonia epidemic, “retroversions” across the country are facing difficulties, fighting with their lives on the front line of the fight against the epidemic, and protecting the lives and health of the people across the country with love. As an important position for epidemic prevention work, colleges and universities, in order to maintain the physical and mental health of students, use the grid management model to closely organize the student management work network, and extend the epidemic prevention and control work to the “end” of student management, so as to effectively strengthen the epidemic prevention work position in colleges and universities. In today’s era of big data, internet technology has brought great convenience to people, and people are also subtly enjoying the benefits of the era of big data in production and life. This study mainly discusses the combination of big data technology and efficient managers to deal with the management of students in the era of big data more scientifically and reasonably, and at the same time, colleges and universities do a good job in the practical significance and role of grid work mode for students under the normalization of the antiepidemic situation mode, to drive the overall development of colleges and universities and promote the improvement of college management level.
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