It is difficult to identify whether the ECS of a engine can overcome the HEMP environment, and if there are influences existing, how it will be affected and what extent it can. On the basis of discussing the occurring mechanics and characteristics of HEMP, a route to study the effects of the engine ECS under HEMP environment has been researched. Through the simulation of the HEMP, a laboratory test has been designed and carried out, and the influence of the engine ECS under HEMP has been analyzed. The research indicated that the engine ECS is susceptibility to the HEMP, the main damage mode is soft and transiency damage, it can make the control signal confusion and can even result in the suspension of work, but it can not make permanent hard damage to the ECS, and there are no evidence to show that the HEMP can result in an accumulation damage to the tested engine ECS.

Bayesian method was introduced and leaded into the vehicle fault data processing. The parameter estimation and the selection of the optimal distribution model based on Bayesian method were studied, and an example was given. The references are provided for the application of Bayesian method in the large complicated systems, such as vehicle equipments.

Local mean decomposition(LMD),which is a new time-frequency method, can decompose a complex multicomponent modulation signal into a linear combination of a finite set of mono-component modulation signals. LMD integrates two signal processing procedures: decomposition and demodulation, and it can extract modulation feature efficiently. The basic theory and algorithm of LMD is introduced, and the effection of LMD is verified trough simulation. LMD is applied in gearbox fault diagnosis and successfully extracts modulation feature.

This paper introduces the working principle of ADN2841 and analyzes the main features and the typical application circuit of ADN2841. The laser communication transmission modulation circuit design for the 14 foot butterfly package directly modulated lasers is proposed, and according to the realization and debugging, we summarize the ADN2841 application experience and pay attention to the problem.

With the development of science and technology, the quality of the product is better and better. Consequently, in the time-ended life tests, zero-failure data is of frequent occurrence． So the evaluation of the product’s life has important meaning and greatly practical value． While Bayesian estimation is a very effective method about the analysis of the product’s zero-failure data. In the paper, Bayesian estimation of failure probability of zero-failure data are take out, combined linear fitting method and the software of Matlab, the method to ascertain types of product’s life distribution is come out according to zero-failure data. Finally calculation is performed regarding to zero-failure data of a certain model engine, and ascertain the equation of the engine’s life distribution.