Quantification model of technical conditions of airplane and construction method of quantification model
A technology of technical status and quantitative models, applied in the direction of instruments, data processing applications, resources, etc., can solve the problems of manpower and time, manual errors, and easy omissions, etc., to reduce long-term delays, reduce the probability of failure, and guarantee Effects of safety and normality
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Embodiment 1
[0037] Embodiment 1 Quantitative Model of Aircraft Technical Conditions
[0038] The aircraft technical condition quantification model described in the present invention will be described in further detail below.
[0039] According to the experience of maintenance engineering, the general idea of the quantitative model of aircraft technical status is as follows: 1. Recognize that the new aircraft has reached the design reliability level and is in a completely healthy state when it leaves the factory; 2. Design problems or faults and defects found during aircraft operation , and factors such as performance decline brought about by the aging of the aircraft will reduce the reliability level of the aircraft; 3. The implementation of regular maintenance card and related work can restore the reliability level of the aircraft.
[0040] Based on the above ideas, select the parameters related to the technical status of the aircraft, summarize their respective laws, and calculate the...
Embodiment 2
[0067] Embodiment 2 Construction of Quantitative Model of Aircraft Technical Conditions
[0068] The method for constructing an aircraft technical condition quantification model according to the present invention will be further described in detail below.
[0069] (1) Parameter selection research and analysis
[0070] There is no uniform standard in China's civil aviation industry for the evaluation of aircraft technical status, so it is necessary to conduct research on parameter selection and use scientific theoretical methods to determine the rationality and weight of parameters.
[0071] (1.1) Research form
[0072] according to figure 1 The parameter data structure shown, as well as the needs of subsequent theoretical analysis such as AHP and gray clustering, the research form formulated by this project is shown in the table below.
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[0081] (1.2) Parameter selection analysis ...
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