Aiming at the problem of long time of vehicle engine reliability life test,the grey system forecasting theory is used to forecast vehicle engine reliability life test data,and the unbiased grey GM( 1,1) power model for engine reliability life test data is proposed. By examining the overall distribution function equality of test data sequence and forecasted data sequence,it is confirmed that the proposed unbiased grey GM( 1,1) power model can be effectively used for the prediction of engine reliability life test data. The example results show that the grey theory forecasting method for the prediction of engine reliability life test data has high precision,and distribution function parameters of test data sequence and forecasted data sequence...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
Prognostics is an emerging science of predicting the health condition of a system and/or its compone...
This paper emphasizes on analysing and predicting the reliability of an automobile crankshaft by ana...
In order to solve the problem of the lack of reliability data and the uncertain factors in the produ...
To avoid infrared or thermal signatures of the fixed-wing unmanned aerial vehicle, the engine is enc...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
In this article, an improved grey prediction model is proposed to address low-accuracy prediction is...
The results of previously conducted research shows that in the case of automotive engines wear accom...
© Springer Nature Switzerland AG 2020. One of the main factors affecting the vehicles competitivenes...
As limits of time, labors and expenses, observed data usually have the characteristic of small sampl...
The capacity/state-of-charge (SoC) and voltage of lithium–ion batteries are of prime importance in e...
Steering systems are one of the most important components of a car and have a direct impact on safet...
The reliability evaluation of high reliability and long life equipment is widely concerned in recent...
The reliability prediction of gearbox is a complex and challenging topic. The purpose of this resear...
Considered is a problem of longevity estimation and guaranteeing the preplanned lifespan of the auto...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
Prognostics is an emerging science of predicting the health condition of a system and/or its compone...
This paper emphasizes on analysing and predicting the reliability of an automobile crankshaft by ana...
In order to solve the problem of the lack of reliability data and the uncertain factors in the produ...
To avoid infrared or thermal signatures of the fixed-wing unmanned aerial vehicle, the engine is enc...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
In this article, an improved grey prediction model is proposed to address low-accuracy prediction is...
The results of previously conducted research shows that in the case of automotive engines wear accom...
© Springer Nature Switzerland AG 2020. One of the main factors affecting the vehicles competitivenes...
As limits of time, labors and expenses, observed data usually have the characteristic of small sampl...
The capacity/state-of-charge (SoC) and voltage of lithium–ion batteries are of prime importance in e...
Steering systems are one of the most important components of a car and have a direct impact on safet...
The reliability evaluation of high reliability and long life equipment is widely concerned in recent...
The reliability prediction of gearbox is a complex and challenging topic. The purpose of this resear...
Considered is a problem of longevity estimation and guaranteeing the preplanned lifespan of the auto...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
Prognostics is an emerging science of predicting the health condition of a system and/or its compone...
This paper emphasizes on analysing and predicting the reliability of an automobile crankshaft by ana...