Diagnosing intermittent fault is an important approach to reduce built-in test（BIT） false alarms. Aiming at solving the shortcoming of the present diagnostic method of intermittent fault, and according to the merit ...Diagnosing intermittent fault is an important approach to reduce built-in test（BIT） false alarms. Aiming at solving the shortcoming of the present diagnostic method of intermittent fault, and according to the merit of support vector machines （ SVM） which can be trained with a small-sample, an SVM-based diagnostic model of 3 states that include OK state, intermittent state and faulty state is presented. With the features based on the reflection coefficients of an alarm rate （ AR ） model extracted from small vibration samples, these models are trained to diagnose intermittent faults. The experimental results show that this method can diagnose multiple intermittent faults accurately with small training samples and BIT false alarms are reduced.展开更多
随着智能网联车辆技术的迅速发展,汽车自动化程度越来越高,当总线网络需要更多数量的电子控制单元(ECU,electronic control unit),车载总线的布局越来越复杂时,传统搭建车载总线测试台架效率较低、通用性差,不能满足主机厂测试需求.通...随着智能网联车辆技术的迅速发展,汽车自动化程度越来越高,当总线网络需要更多数量的电子控制单元(ECU,electronic control unit),车载总线的布局越来越复杂时,传统搭建车载总线测试台架效率较低、通用性差,不能满足主机厂测试需求.通过深入研究车载控制器局域网(CAN,controller area network)总线的测试,分析了传统测试台架的缺点,提出了一种基于Vector工具链车载CAN总线自动化测试系统.该系统通过Vector工具链之间的功能联系,采用能被CAPL语言调用的C++语言开发的底层驱动,以实现车载CAN总线、LIN(local interconnect network)总线自动化测试.本文设计了与人工测试的对比实验,验证了该系统不仅能解决车载总线测试通用性差的缺点,而且还提高了测试效率.展开更多
Determining the liquefaction potential of soil is important in earthquake engineering. This study proposes the use of the Relevance Vector Machine （RVM） to determine the liquefaction potential of soil by using actua...Determining the liquefaction potential of soil is important in earthquake engineering. This study proposes the use of the Relevance Vector Machine （RVM） to determine the liquefaction potential of soil by using actual cone penetration test （CPT） data. RVM is based on a Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. The results are compared with a widely used artificial neural network （ANN） model. Overall, the RVM shows good performance and is proven to be more accurate than the ANN model. It also provides probabilistic output. The model provides a viable tool for earthquake engineers to assess seismic conditions for sites that are susceptible to liquefaction.展开更多
Automatic identification of flaws is very important for ultrasonic nondestructive testing and evaluation of large shaft.A novel automatic defect identification system is presented.Wavelet packet analysis(WPA)was appli...Automatic identification of flaws is very important for ultrasonic nondestructive testing and evaluation of large shaft.A novel automatic defect identification system is presented.Wavelet packet analysis(WPA)was applied to feature extraction of ultrasonic signal,and optimal Support vector machine(SVM)was used to perform the identification task.Meanwhile,comparative study on convergent velocity and classified effect was done among SVM and several improved BP network models.To validate the method,some experiments were performed and the results show that the proposed system has very high identification performance for large shafts and the optimal SVM processes better classification performance and spreading potential than BP manual neural network under small study sample condition.展开更多
We demonstrated the simple and effective production of transgenic chickens,in which the enhanced green fluorescence protein(EGFP)was expressed by using third-generation self-inactive HIV-based lentiviral vectors.In ou...We demonstrated the simple and effective production of transgenic chickens,in which the enhanced green fluorescence protein(EGFP)was expressed by using third-generation self-inactive HIV-based lentiviral vectors.In our experiments,lentiviruses were injected into 204 fertilized eggs,from which 30(15%)chickens were hatched.The exogenous gene was detected in the genomes of 16 out of 30(53%)chickens.The green fluorescence signal was observed directly in various body parts,and was particularly significant in the testes.The transgenes were also found in the offspring of these chickens.The results indicate that HIV-based lentiviral vectors can be used to generate transgenic birds economically and effectively.展开更多
文摘Diagnosing intermittent fault is an important approach to reduce built-in test（BIT） false alarms. Aiming at solving the shortcoming of the present diagnostic method of intermittent fault, and according to the merit of support vector machines （ SVM） which can be trained with a small-sample, an SVM-based diagnostic model of 3 states that include OK state, intermittent state and faulty state is presented. With the features based on the reflection coefficients of an alarm rate （ AR ） model extracted from small vibration samples, these models are trained to diagnose intermittent faults. The experimental results show that this method can diagnose multiple intermittent faults accurately with small training samples and BIT false alarms are reduced.
文摘随着智能网联车辆技术的迅速发展,汽车自动化程度越来越高,当总线网络需要更多数量的电子控制单元(ECU,electronic control unit),车载总线的布局越来越复杂时,传统搭建车载总线测试台架效率较低、通用性差,不能满足主机厂测试需求.通过深入研究车载控制器局域网(CAN,controller area network)总线的测试,分析了传统测试台架的缺点,提出了一种基于Vector工具链车载CAN总线自动化测试系统.该系统通过Vector工具链之间的功能联系,采用能被CAPL语言调用的C++语言开发的底层驱动,以实现车载CAN总线、LIN(local interconnect network)总线自动化测试.本文设计了与人工测试的对比实验,验证了该系统不仅能解决车载总线测试通用性差的缺点,而且还提高了测试效率.
文摘Determining the liquefaction potential of soil is important in earthquake engineering. This study proposes the use of the Relevance Vector Machine （RVM） to determine the liquefaction potential of soil by using actual cone penetration test （CPT） data. RVM is based on a Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. The results are compared with a widely used artificial neural network （ANN） model. Overall, the RVM shows good performance and is proven to be more accurate than the ANN model. It also provides probabilistic output. The model provides a viable tool for earthquake engineers to assess seismic conditions for sites that are susceptible to liquefaction.
基金Supported by the Research Program of International Technology Collaboration and Communication of Sichuan(2007H12-017)
文摘Automatic identification of flaws is very important for ultrasonic nondestructive testing and evaluation of large shaft.A novel automatic defect identification system is presented.Wavelet packet analysis(WPA)was applied to feature extraction of ultrasonic signal,and optimal Support vector machine(SVM)was used to perform the identification task.Meanwhile,comparative study on convergent velocity and classified effect was done among SVM and several improved BP network models.To validate the method,some experiments were performed and the results show that the proposed system has very high identification performance for large shafts and the optimal SVM processes better classification performance and spreading potential than BP manual neural network under small study sample condition.
基金supported by National High Technology Research and Development Program of China(863 Key Program,No.2007AA100504)Anhui Natural Science Foundation(No.050410201)
文摘We demonstrated the simple and effective production of transgenic chickens,in which the enhanced green fluorescence protein(EGFP)was expressed by using third-generation self-inactive HIV-based lentiviral vectors.In our experiments,lentiviruses were injected into 204 fertilized eggs,from which 30(15%)chickens were hatched.The exogenous gene was detected in the genomes of 16 out of 30(53%)chickens.The green fluorescence signal was observed directly in various body parts,and was particularly significant in the testes.The transgenes were also found in the offspring of these chickens.The results indicate that HIV-based lentiviral vectors can be used to generate transgenic birds economically and effectively.
