CAJ | 학술논문

某型加速度计贮存于我国亚湿热、亚干热、温和、干燥4个典型气候区。针对历年统计的加速度计的成败型、不完全故障数据，假设其服从指数分布族、Weibull分布族、极值分布族、对数正态分布族，结合工程实际处理异常数据、“倒挂”数据，采用极小?2估计对分布函数的参数进行估计，采用极小?2检验对各分布函数的合理性进行了验证，计算“服从不同自由度下的?2分布随机变量”检验的拟合优度，得到了加速度计贮存可靠性分布函数。通过统计的故障数据，验证了所提出的数学模型评估方法的适用性和正确性，得到了置信度0.90、可靠度0.95条件下加速度计自然贮存寿命。
모형가속도계저존우아국아습열、아간열、온화、간조4개전형기후구。침대력년통계적가속도계적성패형、불완전고장수거，가설기복종지수분포족、Weibull분포족、겁치분포족、대수정태분포족，결합공정실제처리이상수거、“도괘”수거，채용겁소?2고계대분포함수적삼수진행고계，채용겁소?2검험대각분포함수적합이성진행료험증，계산“복종불동자유도하적?2분포수궤변량”검험적의합우도，득도료가속도계저존가고성분포함수。통과통계적고장수거，험증료소제출적수학모형평고방법적괄용성화정학성，득도료치신도0.90、가고도0.95조건하가속도계자연저존수명。
In our country, a certain type of accelerometer is stored in four typical climate zones which are sub humid, Asia hot, mild and dry zones. In view of the historical statistics (accelerometer's success or failure, and incomplete failure data), assuming that they are subject to exponential distribution, Weibull distribution, extreme value distribution and logarithmic normal distribution, and by combining with the engineering data to handle the exceptions and "upside down" data, a minimum?2 estimation method is used to estimate the parameters of the distribution function, and the fit goodness of“obey distributed random variables under different degrees of freedom?2”test is calculated. In this way the storage reliability distribution function of an accelerometer is obtained. The fault data statistics verify the applicability and validity of the proposed mathematical model assessment method, and the accelerometer natural storage life is obtained under the condition of confidence 0.90 and reliability 0.95.