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| 1 | A survey on life prediction of equipment显示文摘Once in the hands of end users, such durable equipment as spacecraft, aircraft, ships,automobiles, computers, etc. are in a state of debugging, working or storage. In either state, availability, reliability and super-efficiency are the ultimate goals, which have been achieved through constant monitoring as well as regular, preventive, routine and corrective maintenance. Although some advanced instruments can visualize certain invisible malfunctioning phenomena into visible ones, deeply hidden troubles cannot be found unless monitoring and testing data are addressed using tools that process the data statistically, analytically and mathematically. Some state-of-theart trouble-shooting and life-predicting techniques and approaches are introduced in this paper. | Hu Changhua Zhou Zhijie Zhang Jianxun Si Xiaosheng | 2015 | Chinese Journal of Aeronautics2015，28，1： | 14 |
| 2 | Structures of the Bohai Petroliferous Area,Bohai Bay Basin显示文摘This paper, for the first time, deals with a more systematic study of the structures in the Bohaipetroliferous area that covers nearly one third of the Bohai Bay basin. The study mainly involves the effects of preexisting basement faults on the basin formation, the characteristics of basin geometry and kinetics, the modelling of the tectonic-thermal history, the polycyclicity and heterogeneity in the structural evolution and the natural seismic tomographic images of the crust and upper mantle. The authors analyze the features of the dynamic evolution of the basin in the paper and point out that the basin in the Bohai petroliferous area is an extensional pull-apart basin. | CAI Dongsheng LUO Yuhui YAO Changhua HE Jiankun HU Shengbiao LU Huafu WANG Liangshu | 2000 | Acta Geologica Sinica(English Edition)2000，74，3： | 8 |
| 3 | A new remaining useful life estimation method for equipment subjected to intervention of imperfect maintenance activities显示文摘As the key part of Prognostics and Health Management(PHM), Remaining Useful Life(RUL) estimation has been extensively investigated in recent years. Current RUL estimation studies considering the intervention of imperfect maintenance activities usually assumed that maintenance activities have a single influence on the degradation level or degradation rate, but not on both.Aimed at this problem, this paper proposes a new degradation modeling and RUL estimation method taking the influence of imperfect maintenance activities on both the degradation level and the degradation rate into account. Toward this end, a stochastic degradation model considering imperfect maintenance activities is firstly constructed based on the diffusion process. Then, the Probability Density Function(PDF) of the RUL is derived by the convolution operator under the concept of First Hitting Time(FHT). To implement the proposed RUL estimation method,the Maximum Likelihood Estimation(MLE) is utilized to estimate the degradation related parameters based on the Condition Monitoring(CM) data, while the Bayesian method is utilized to estimate the maintenance related parameters based on the maintenance data. Finally, a numerical example and a practical case study are provided to demonstrate the superiority of the proposed method. The experimental results show that the proposed method could greatly improve the RUL estimation accuracy for the degrading equipment subjected to imperfect maintenance activities. | Changhua HU Hong PEI Zhaoqiang WANG Xiaosheng SI Zhengxin ZHANG | 2018 | Chinese Journal of Aeronautics2018，31，3： | 8 |
| 4 | Net energy of corn,soybean meal and rapeseed meal in growing pigs显示文摘Background: Two experiments were conducted to estimate the net energy(NE) of corn, soybean meal, expel er-pressed rapeseed meal(EP-RSM) and solvent-extracted rapeseed meal(SE-RSM) using indirect calorimetry and to validate the NE of these four ingredients using pig growth performance.Methods: In Exp.1, 24 barrows(initial BW = 36.4 ± 1.6 kg) were allotted to 1 of 4 diets which included a corn basal diet,a corn-soybean meal basal diet and two rapeseed meal diets containing 20% EP-RSM(9.5% ether extract) or SE-RSM(1.1% ether extract) substituted for corn and soybean meal. The design allowed the calculation of NE values of corn,soybean meal and rapeseed meals according to the difference method. In Exp.2, 175 growing pigs(initial BW = 36.0± 5.2 kg) were fed 1 of 5 diets for 28 d, with five pigs per pen and seven replications(pens) per treatment in order to validate the measured energy values. Diets were a corn-soybean meal diet and four diets including 10% or 20% EP-RSM and 10% or 20% SE-RSM.Results: The NE of corn, soybean meal, EP-RSM and SE-RSM were 12.46, 11.34, 11.71 and 8.83 MJ/kg DM, respectively. The NE to ME ratio of corn(78%) was similar to tabular values, however, the NE to ME ratios of soybean meal(70%) and rapeseed meal(76%) were greater than tabular values. The greater NE value in EP-RSM than in SE-RSM is consistent with its higher EE content. Increasing EP-RSM or SE-RSM did not affect the growth performance of pigs and the caloric efficiency of NE was comparable for al diets.Conclusions: The NE of EP-RSM was similar to soybean meal, and both were greater than SE-RSM. The DE, ME and NE values measured in Exp.1 are confirmed by results of Exp. 2 with comparable caloric efficiencies of DE, ME or NE for all diets. | Zhongchao Li Yakui Li Zhiqian Lv Hu Liu Jinbiao Zhao Jean Noblet Fenglai Wang Changhua Lai Defa Li | 2017 | Journal of Animal Science and Biotechnology2017，8，4： | 7 |
| 5 | Tracking control for air-breathing hypersonic cruise vehicle based on tangent linearization approach显示文摘This paper is focused on developing a tracking controller for a hypersonic cruise vehicle using tangent linearization approach.The design of flight control systems for air-breathing hypersonic vehicles is a highly challenging task due to the unique characteristics of the vehicle dynamics.Motivated by recent results on tangent linearization control,the tracking control problem for the hypersonic cruise vehicle is reduced to that of a feedback stabilizing controller design for a linear time-varying system which can be accomplished by a standard design method of frozen-time control.Through a proper model transformation,it can be proven that the tracking error of the designed closed-loop system decays exponentially.Simulation studies are conducted for trimmed cruise conditions of 110000 ft and Mach 15 where the responses of the vehicle to step changes in altitude and velocity are evaluated.The effectiveness of the controller is demonstrated by simulation results. | Guangbin Cai Guangren Duan Changhua Hu Bin Zhou | 2010 | Journal of Systems Engineering and Electronics2010，21，3： | 7 |
| 6 | Fault prediction model based on evidential reasoning approach显示文摘In order to deal with fault prediction problems that involve both quantitative and qualitative in-formation for nonlinear complex system, a new fault prediction model is established based on the evidential reasoning (ER) approach, and an optimal learning algorithm for training ER-based prediction model is pre-sented based on the mean square error (MSE) criterion. This prediction model inherits the advantages of ER approach, which can deal with precise data, incomplete data and fuzzy data with nonlinear characteristic. In this model, the input signals transformed using rule based information transformation technique, are aggregated by analytical ER approach, and then the outputs of prediction model are constructed according to the types of system outputs. In addition, two fault decision criteria are defined to conduct fault identification. To overcome the difficulty in determining model parameters accurately and subjectively, a nonlinear optimization model is constructed and the optimal parameters are obtained. Two experimental studies are conducted to evaluate the performance of the proposed model. The results show that the established prediction model and the presented parameters optimization methods can deal with fault prediction problem effectively. | SI.XiaoSheng HU ChangHua ZHOU ZhiJie | 2010 | Science China(Information Sciences)2010，53，10： | 7 |
| 7 | A New Safety Assessment Method Based on Belief Rule Base With Attribute Reliability显示文摘Safety assessment is one of important aspects in health management.In safety assessment for practical systems,three problems exist:lack of observation information,high system complexity and environment interference.Belief rule base with attribute reliability(BRB-r)is an expert system that provides a useful way for dealing with these three problems.In BRB-r,once the input information is unreliable,the reliability of belief rule is influenced,which further influences the accuracy of its output belief degree.On the other hand,when many system characteristics exist,the belief rule combination will explode in BRB-r,and the BRB-r based safety assessment model becomes too complicated to be applied.Thus,in this paper,to balance the complexity and accuracy of the safety assessment model,a new safety assessment model based on BRB-r with considering belief rule reliability is developed for the first time.In the developed model,a new calculation method of the belief rule reliability is proposed with considering both attribute reliability and global ignorance.Moreover,to reduce the influence of uncertainty of expert knowledge,an optimization model for the developed safety assessment model is constructed.A case study of safety assessment of liquefied natural gas(LNG)storage tank is conducted to illustrate the effectiveness of the new developed model. | Zhichao Feng Wei He Zhijie Zhou Xiaojun Ban Changhua Hu Xiaoxia Han | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，11： | 6 |
| 8 | A hidden fault prediction model based on the belief rule base with power set and considering attribute reliability显示文摘Hidden faults are important characteristics of complex systems that cannot be observed directly.The hidden behavior of a system, such as the health state and safety level, has a direct correlation with these hidden faults. After the predicted hidden behavior reaches a fault boundary, certain measures must be taken to avoid fault occurrences. Thus, hidden faults can be predicted by the hidden behavior of a system.The belief rule base(BRB) has been used to predict hidden behaviors. However, two problems remain to be solved in engineering practice. First, when the observed information is absent, ignorance may exist in the output. If only global ignorance is considered, it may be unreasonable in certain cases, which can influence the prediction model. Second, the effects of disturbance factors such as noise and sensor quality may cause the reliability of the gathered information to decline, which indirectly leads to unreliability of the hidden behavior. Thus, to address the global ignorance and unreliable hidden behavior, a new hidden BRB model with a power set and considering attribute reliability(PHBRB-r) is proposed for hidden fault prediction. In the PHBRB-r model, the effects of disturbance factors on hidden behavior are considered using attribute reliability, and the discernment frame is a power set. A case study of hidden fault prediction is conducted to demonstrate the effectiveness of the PHBRB-r model. | Zhijie ZHOU Zhichao FENG Changhua HU Xiaoxia HAN Zhiguo ZHOU Gailing LI | 2019 | Science China(Information Sciences)2019，62，10： | 6 |
| 9 | Methodologies on estimating the energy requirements for maintenance and determining the net energy contents of feed ingredients in swine:a review of recent work显示文摘In the past two decades, a considerable amount of research has focused on the determination of the digestible(DE) and metabolizable energy(ME) contents of feed ingredients fed to swine. Compared with the DE and ME systems, the net energy(NE) system is assumed to be the most accurate estimate of the energy actually available to the animal. However, published data pertaining to the measured NE content of ingredients fed to growing pigs are limited. Therefore, the Feed Data Group at the Ministry of Agricultural Feed Industry Centre(MAFIC) located at China Agricultural University has evaluated the NE content of many ingredients using indirect calorimetry. The present review summarizes the NE research works conducted at MAFIC and compares these results with those from other research groups on methodological aspect. These research projects mainly focus on estimating the energy requirements for maintenance and its impact on the determination, prediction, and validation of the NE content of several ingredients fed to swine. The estimation of maintenance energy is affected by methodology, growth stage,and previous feeding level. The fasting heat production method and the curvilinear regression method were used in MAFIC to estimate the NE requirement for maintenance. The NE contents of different feedstuffs were determined using indirect calorimetry through standard experimental procedure in MAFIC. Previously generated NE equations can also be used to predict NE in situations where calorimeters are not available. Although popular, the caloric efficiency is not a generally accepted method to validate the energy content of individual feedstuffs. In the future,more accurate and dynamic NE prediction equations aiming at specific ingredients should be established, and more practical validation approaches need to be developed. | Zhongchao Li Hu Liu akui Li Zhiqian Lv Ling Liu Changhua Lai Junjun Wang Fenglai Wang Defa Li Shuai Zhang | 2018 | Journal of Animal Science and Biotechnology2018，9，3： | 6 |
| 10 | Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models显示文摘Backgrounds:Evaluating the growth performance of pigs in real-time is laborious and expensive,thus mathematical models based on easily accessible variables are developed.Multiple regression(MR)is the most widely used tool to build prediction models in swine nutrition,while the artificial neural networks(ANN)model is reported to be more accurate than MR model in prediction performance.Therefore,the potential of ANN models in predicting the growth performance of pigs was evaluated and compared with MR models in this study.Results:Body weight(BW),net energy(NE)intake,standardized ileal digestible lysine(SID Lys)intake,and their quadratic terms were selected as input variables to predict ADG and F/G among 10 candidate variables.In the training phase,MR models showed high accuracy in both ADG and F/G prediction(R^(2)_(ADG)=0.929,R^(2)_(F/G)=0.886)while ANN models with 4,6 neurons and radial basis activation function yielded the best performance in ADG and F/G prediction(R^(2)_(ADG)=0.964,R^(2)_(F/G)=0.932).In the testing phase,these ANN models showed better accuracy in ADG prediction(CCC:0.976 vs.0.861,R^(2):0.951 vs.0.584),and F/G prediction(CCC:0.952 vs.0.900,R^(2):0.905 vs.0.821)compared with the MR models.Meanwhile,the“over-fitting”occurred in MR models but not in ANN models.On validation data from the animal trial,ANN models exhibited superiority over MR models in both ADG and F/G prediction(P<0.01).Moreover,the growth stages have a significant effect on the prediction accuracy of the models.Conclusion:Body weight,NE intake and SID Lys intake can be used as input variables to predict the growth performance of growing-finishing pigs,with trained ANN models are more flexible and accurate than MR models.Therefore,it is promising to use ANN models in related swine nutrition studies in the future. | Li Wang Qile Hu Lu Wang Huangwei Shi Changhua Lai Shuai Zhang | 2022 | Journal of Animal Science and Biotechnology2022，13，6： | 5 |
| 11 | A joint order-replacement policy for deteriorating components with reliability constraint显示文摘Dear editor,Condition-based maintenance(CBM)is a popular maintenance program for degrading components and can recommend maintenance decisions based on the condition monitoring(CM)information[1].In CBM applications,a widely adopted assumption is that spare parts are always available or can be delivered without any lead time.However,the lead time for ordering spare parts requires that they should be ordered in advance of the occurrence of system failure or maintenance.Therefore,it is well recognized that the inventory provisioning and maintenance scheduling should be jointly concerned.Some studies have been conducted to optimize the ordering and replacement policy[2,3].However,these studies are basically performed based on the time-tofailure data,ignoring the real-time CM information. | Xiaosheng SI Changhua HU Tianmei LI Qi ZHANG | 2021 | Science China(Information Sciences)2021，64，8： | 2 |
| 12 | Epidemic status of Angiostrongylus cantonensis in Hainan island,China显示文摘Objective:To understand the current epidemiological status of Angiostrongylus cantonensis in Hainan island and provide the scientific evidences for prevention and control of the disease.Methods:The investigation on nature infection condition of intermediate hosts and final hosts of Angiostrongylus cantonensis were carried out in five counties,Hainan Province, and enzyme linked immunosorbent assay(ELISA) was employed to detect antibodies of Angiostrongylus cantonensis in human hosts.Results:A total of 1 612 molluscs were examined, 21.3%of which harbored L3 of Angiostrongylus cantonensis.Among them,the infection rates of Pomacea canaliculata,Achatina fulica,Cepaea and Phlegm bilineatus were 12.3696(64/518), 22.66%(121/534),20.93%(9/43),and 28.24%(146/517),respectively.Of the 118 rats trapped,13 Rattus norvegicus were found to be infected with Angiostrongylus cantonensis.A total of 459 serum samples were collected and tested.92 serum samples were Angiostrongylus cantonensis antibody-positive.Conclusions:The survey revealed a wide distribution of Angiostrongylus cantonensis in Hainan island.Pomacea canaUculata and Achatina fulica are main intermediate hosts of Angiostrongylus cantonensis.Rattus novegicus is a nature definitive host,indicating that a considerable number of people are at risk of angiostrongyliasis.Health education,rigorous food inspection and surveillance are all needed to prevent angiostrongyliasis outbreaks in future. | Ximin Hu Jianwei Du Chongjin Tong Shanqing Wang Jian Liu Yuchun Li Changhua He | 2011 | Asian Pacific Journal of Tropical Medicine2011，4，4： | 2 |
| 13 | Online updating belief-rule-base using the RIMER approach显示文摘 | Zhou Zhijie Hu Changhua Yang Jianbo | 2011 | IEEE Trans on Systems Man and Cybernetics Part A:Systems and Humans2011，41，6： | 1 |
| 14 | A model for real-time failure prognosis based on hidden Markov model and belief rule base显示文摘 | ZHOU Zhijie HU Changhua XU Dongling | 2010 | European Journal of Operational Research2010，207，1： | 1 |
| 15 | Transposon-based screen identifies a XRE family regulator crucial for candicidin biosynthesis in Streptomyces albus J1074显示文摘Dear Editor,Polyene macrolides are a group of natural products with potent antifungal activity (Caffrey et al., 2016). Candicidin/FR-008, a potent broad-spectrum anti-fungal agent, is produced by several Streptomycetes, including Streptomycetes sp. strain FR-008 (Chen et al., 2003), S. griseus 3570(Campelo and Gil, 2002) and S. albus J1074 (Olano et al.,2014). Due to its medical importance, considerable effort has been applied to elucidate its biosynthetic pathway and identify key regulatory genes (Chen et al., 2003;Zhang et al.,2015). | Jun Tian Leixin Ye Yuling Yang Yalin Zhang Changhua Hu Guojian Liao | 2020 | Science China(Life Sciences)2020，63，9： | 1 |
| 16 | Remaining useful life estimation based on a nonlinear diffusion degradationprocess显示文摘 | SI Xiaosheng WANG Wenbin HU Changhua | 2012 | IEEE Transaction on Reliability2012，61，1： | 1 |
| 17 | Remaining useful life estimation-a review on the statistical data driven approaches显示文摘 | Si Xiaosheng Wang Wenbin Hu Changhua | 2011 | European Journal of Operational Research2011，213，1： | 1 |
| 18 | On- line updating belief rule based system for pipeline leak detection under expert intervention 显示文摘 | ZHOU Zhijie HU Changhua YANG Jianbo | 2009 | Expert Systems with Applications2009，36，4： | 1 |
| 19 | Hg^2+-reactive double hydrophilic block copolymer assemblies as novel multi functional fluorescent probes with improved performance显示文摘 | Hu Jinming Li Changhua Liu Shiyong | 2010 | Langmuir2010，26，2： | 1 |
| 20 | Online up-dating belief rule based system for pipeline leak detectionunder expert intervention显示文摘 | Zhou Zhijie Hu Changhua Yang Jianbo | 2009 | Expert System with Applica-tion2009，36，4： | 1 |
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