Because the real environment and working conditions in the actual use of marine air compressors are not fully simulated by the laboratory, such as the working environment of the air compressor, most of the time is in the sea swing state and the high vibration, high temperature and high humidity of the engine room. In the case of an air compressor that already has practical experience, the best data source for its reliability assessment is its own fault data record. The failure of the various components of the air compressor leads to the failure of the whole machine. The reasons are various, such as defects in the design structure, incorrect operation or corrosion and aging of the material. These reasons lead to uncertainty in the failure time of the air compressor. Characterizing this time using statistical methods is called the 'black box' method. The expiration time is taken as a random variable and described by an appropriate probability distribution function. The basic principle of 1Weibull distribution linear regression considers that the Weibull distribution is the most suitable model for analyzing the reliability of mechanical products. Therefore, the collected goodness test of the air compressor fault record data is based on the Weibull distribution. Progressive analysis of the reliability of air compressors. The cumulative fault distribution function B-4 of the two-parameter Weibull distribution is an optimization process when estimating the parameters of the Weibull distribution. The accuracy of the prediction is improved by minimizing the degree of deviation between the regression estimate and the observed value. Sexuality 0. For the 4th Pearson, the modern high-resolution active sonar background reverberation is of great significance. Therefore, it is of great significance to study the CFAR detector design problem under the Pearson distribution reverberation background. In this paper, two kinds of CFAR detectors OSGO and OSSO with multi-target interference resistance are proposed. The false alarm probability and detection probability of the two types of detectors are derived. The performance of OSSO is better than that of traditional OS. The performance of OSGO is similar to that of OS, but 2 Class detectors require only half the computational overhead to facilitate application in array signal processors. The research results of this paper can be extended to the radar field. The next step is to study the detection problem of distance-expanded targets in the Pearson distribution reverberation background.
Application:
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