Towards the Integrating Wind Power into Power Grid in China

With abundant wind resources and high pressure imposed on en-vironmental protection, wind power development has a promising future. Butdue to intermittent nature, wind power can bring into full play only if being con-nected into power grid to ensure its supply reliability and continuity, aswell as operational economy. However, technical and market barriers haveprevented wind power from integrating into power grid. To foster wind powerdevelopment, these barriers should be removed by both government incentivepolicies and sophisticated technologies.

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

In the past 30 years,signed directed graph(SDG) ,one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consis-tent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagno-sis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.

试析宫本辉《锦绣》中的女性人物形象

宫本辉的书信体小说《锦绣》共由14封书信组成,主要刻画了由加子、亚纪和令子三个女性人物形象。本文通过对这三个女性人物性格、经历的剖析,透视男女主人公找到各自救赎之路的历程,并由此来审视和评价书信往来中提到的"(业障)"。

Machine learning based online fault prognostics for nonstationary industrial process via degradation feature extraction and temporal smoothness analysis

Fault degradation prognostic, which estimates the time before a failure occurs and process breakdowns, has been recognized as a key component in maintenance strategies nowadays. Fault degradation processes are, in general,slowly varying and can be modeled by autoregressive models. However, industrial processes always show typical nonstationary nature, which may bring two challenges: how to capture fault degradation information and how to model nonstationary processes. To address the critical issues, a novel fault degradation modeling and online fault prognostic strategy is developed in this paper. First, a fault degradation-oriented slow feature analysis(FDSFA) algorithm is proposed to extract fault degradation directions along which candidate fault degradation features are extracted. The trend ability assessment is then applied to select major fault degradation features. Second, a key fault degradation factor(KFDF) is calculated to characterize the fault degradation tendency by combining major fault degradation features and their stability weighting factors. After that, a time-varying regression model with temporal smoothness regularization is established considering nonstationary characteristics. On the basis of updating strategy, an online fault prognostic model is further developed by analyzing and modeling the prediction errors. The performance of the proposed method is illustrated with a real industrial process.

Current status of medical support in military operations other than war in domestic and overseas

Objective: To investigate the current status of medical support in military operations other than war (MOOTW) in domestic and overseas. Methods: This paper mainly adopts the descriptive, comparative and induction research methods. The current status of medical support in MOOTW in China, America, Russia, Israel, Canada, had been studied through some official papers, and series of professional books by analysis the precise date in various kinds of emergency event. Results: The contrast shows that there is still a quite huge development in medical support in MOOTW, no matter in China, or in other countries. Conclusion: In order to strengthen the forces, besides building professional rescue teams, it is necessary to take a regular revise of plans, according to missions` needs.

Overview of the Importance of Intelligent Approaches on Machinery Faults Diagnosis and Prediction Based on Prognostic and Health Management/Condition-Based Maintenance

Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accidents leading to production shrinkage.The potential failure would negatively affect the profitability of the company,including production shut down,cost of spare parts,cost of labor,damage of reputation,risk of injury to people and the environment.In recent years,condition-based maintenance( CBM) and prognostic and health management( PHM) are developed and formed a strong connection among science,engineering,computer,reliability,communication,management,etc.Computerized maintenance management systems( CMMS) store a lot of data regarding the fault diagnosis and life prediction of the machinery equipment.It's too necessary to uncover useful knowledge from the huge amount of data.It's vital to find the ways to obtain useful and concise information from these data.This information can be of great influence in the decision making of managers.This article is a review of intelligent approaches in machinery faults diagnosis and prediction based on PHM and CBM.

Independent component analysis approach for fault diagnosis of condenser system in thermal power plant

A statistical signal processing technique was proposed and verified as independent component analysis(ICA) for fault detection and diagnosis of industrial systems without exact and detailed model.Actually,the aim is to utilize system as a black box.The system studied is condenser system of one of MAPNA's power plants.At first,principal component analysis(PCA) approach was applied to reduce the dimensionality of the real acquired data set and to identify the essential and useful ones.Then,the fault sources were diagnosed by ICA technique.The results show that ICA approach is valid and effective for faults detection and diagnosis even in noisy states,and it can distinguish main factors of abnormality among many diverse parts of a power plant's condenser system.This selectivity problem is left unsolved in many plants,because the main factors often become unnoticed by fault expansion through other parts of the plants.

Youth and Employment： The Effectiveness of the Youth Guarantee Plan in Emilia Romagna and Sicily

The paper presents a comparative analysis of the ＂Youth Guarantee Plan＂ implemented by two Italian regions： Emilia Romagna and Sicily. Within the tradition of the sociology of public action, the study proposes a deepening of the institutional and cognitive analysis of public policies. From the comparison, two distinct models of public action emerge： The first model that implemented by the Emilia Romagna Region, appears more procedural and more founded on the involvement of institutions present in the territory （employment centres, universities, chambers of commerce, professional bodies）, whilst the second model, implemented by the Sicily Region, seems founded mainly on the emphasis placed on the economistic definition of the policy. From the study, most of all, the processes through which the distinct regional public actions succeed in interpreting the innovative potential of the Youth Guarantee Plan and the relations existing between the effectiveness of the policies and the collective meanings that institutions and individuals assign to them, emerge.

Remodeling of the Macedonian Economy

The Macedonian economy gets out relatively little hurt by the global economic crisis not facing with financial crisis, the recession was short-lived, and social crisis emerged in modest sizes. However, the global crisis revealed the major weaknesses of the economic model which was implemented. It turned out that the Macedonian economy is very dependent on the performance of only a few sectors and movements on the prices of its most important export and import products, and that the scope of supply and demand for domestic goods and services is small. These lectures from the economic crisis posed by the need to create a new model for country economic development in the future. The application of historical, statistical, analytical and comparative method shows that Macedonia should exercise other holistic approach in the remodeling of their economy. This means that, besides keeping macroeconomic and financial policy in the future the Macedonian government should act more vigorously in the direction of creating new jobs and provide greater social security. The economic model that we propose in this paper recommends it be done by encouraging small and medium enterprises, diversification of production, encouraging domestic investments, developing human capital, improving infrastructure, encouraging exports and harmonization the macroeconomic instruments. The application of this model will result in increasing investments, industrial production and exports, increasing the competitiveness of domestic products, reducing the trade deficit and maintaining the macroeconomic stability. The general conclusion of the paper is that application of the proposed economic model should lead to realization of two most important goals： achieving lasting, sustainable and significantly higher rates of economic growth and reducing the high rate of unemployment in the country.

STUDY OF REAL-TIME EXPERT SYSTEM TOOL FOR INDUSTRIAL FAULT MONITORING AND DIAGNOSIS

From the requirements of industrial production,an integrated fault monitoring,diagnosis and repairing system is suggested in this paper. This new scheme of fault monitoring and diagnosis system is realized by a master-slave real-time expert system,and a real-time expert system tool for this system is also developed accordingly. As an example of application of this tool ,a realtime expert system for fault monitoring and diagnosis on DC mine hoist is developed. Experiments show that this tool possesses better supporting environment, strong knowledge acquisition ability, and convenience for use. The system developed by this tool not only meets the real-time requirement of DC hoist,but also can give correct diagnosis results.

Multi Boost with ENN-based ensemble fault diagnosis method and its application in complicated chemical process

Fault diagnosis plays an important role in complicated industrial process.It is a challenging task to detect,identify and locate faults quickly and accurately for large-scale process system.To solve the problem,a novel Multi Boost-based integrated ENN(extension neural network) fault diagnosis method is proposed.Fault data of complicated chemical process have some difficult-to-handle characteristics,such as high-dimension,non-linear and non-Gaussian distribution,so we use margin discriminant projection(MDP) algorithm to reduce dimensions and extract main features.Then,the affinity propagation(AP) clustering method is used to select core data and boundary data as training samples to reduce memory consumption and shorten learning time.Afterwards,an integrated ENN classifier based on Multi Boost strategy is constructed to identify fault types.The artificial data sets are tested to verify the effectiveness of the proposed method and make a detailed sensitivity analysis for the key parameters.Finally,a real industrial system—Tennessee Eastman(TE) process is employed to evaluate the performance of the proposed method.And the results show that the proposed method is efficient and capable to diagnose various types of faults in complicated chemical process.

Multi Agent Systems for Fault States Diagnostics and Equipment and Process Management of Yogurt Ripening Tank

It is impossible to plan in advance unpredictable phenomena at monitoring, diagnosis and control of industrial batch and continuous equipment and processes such as chemical composition of the raw materials, the process leads to unexpected reactions and changes its parameters, etc. The agent is active, a program entity, has its own ideas how to perform the tasks of the own agenda. Agents perceive, behave ＂reasonably＂, communicate with other agents. Agents can represent equipment and operations in batch processes as recommended by the ISA $88. Jadex system is based on Java language and on FIPA org. recommendations. The description of ripening tank T406 and recipe for yogurt production in the holding of MADETA Corp. in the Czech Rep. It is described modeling and displaying of＂normal＂ and error, fault unit state of the ripening tank. Agents are within the Jadex system and describing the behavior of ripening tank T406 with state diagrams-automata and assist in diagnosing of fault states. States are described in XML language-SCXML （State Charts XML）. Jadex Control Center-JCC represents a major access point to use for operating in real time.

Agroforestry Initiatives for Capacity Building and Social Security through Captive Plantations on Degraded Lands of Farmers in State Karnataka, India

To meet the demand of raw material, i.e., wood, from the available sources always remained a big challenge for paper industries since the last two decades. For a sustainable supply of raw material in future, major plantation activities were undertaken by paper industries, like West Coast Paper Mills Limited （WCPM）, by constituting a society, i.e., Society for Afforestation, Research and Allied Works （SARA）, Dandeli in 2001. The main aim was to promote afforestation programme through major plantations activities on the degraded lands （under rainfed condition） and to generate employments and capacity building. The WCPM is a leading paper manufacturing industry of the country （under the flagship of Bangur group） located at the bank of Kali River in Dandeli of Uttar Kannada district in State Karnataka. To date, company through SARA has raised captive plantations on more than 50,000 acres of degraded land by farmers in different districts of Maharashtm, Karnataka, Andhra Pradesh and Tamilnadu States under Captive Plantation Project through Contract for Farming （CFF） since 2006 under a simple agreement period of only five years. After five years, society arranged to harvest the first rotation crop of the farmer of 2006, 2007, 2008, 2009 plantations and paid the amount of the crop directly to farmers. SARA has a mutual contract with WCPM for purchasing pulpwood. With this, farmers are getting full amount of their crop harvested after five years without any hurdle through SARA. SARA did all the expenditures, i.e., from land development, plantation and harvesting. Under its agroforestry plantation programme, superior planting material of various pulpwood species suited to particular area, i.e., Eucalyptus, Subabul, Casuarina and Acacia were planted on farmer＇s land. Farmers were also encouraged for intercropping, like maize, peanut （groundnut）, chilly, tomato and ginger with plantations. Apart from this, SARA is also providing free fodder to the livestock of farmers. Various types of fodder species such as Stylosanthes scabra, S. hamata are grown with plantation. SARA has also set up its own hi-tech clonal nursery developing around 5-6 millions of clonal ramets every year through clonal propagation technology. Till date, SARA has received 0.15 million ton （MT） of pulpwood from the plantations on farmer＇s land with a yield of 25-30 MT/acre. This type of activities will prove a boon for farmers as well as for industry, when raw material is going to be short in India. It will also conserve our natural resources, high conservative valued forests （HCVF） and will reduce the pressure on forest for wood. In addition, this will maintain the balance between environment and nature. To meet the requirement of pulpwood for industry, this type of plantation activities will open new ways for industry to secure raw material for future use. Also, this would be helpful to enhance productivity and generate employments for rural communities to improve their living standard and capacity building.

The obstacles and countermeasures of developing function of China＇s Unemployment insurance funds

The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, in order to reduce the impact on the individual and society. On the other hand, it also has a function of stabling employment, preventing unemployment and promoting unemployed again obtain employment. In recent years, however, the unemployment insurance fund revenue has been greater than its expenditure, balance funds become more and more, it not only faces a risk of depreciation, also will cause the waste of funds. Therefore, improve the utilization rate of the uncmployment insurance fund itself and expand the function of the unemployment insurance fund, realize the sustainable development of unemployment insurance funds is great significance.

Industrial Fault Signals Propagation and Current Signature Analysis

Motor current signature analysis provides good results in laboratory environment. In real life situation, electrical machines usually share voltage and current from common terminals and would easily influence each other. This will result in considerable amount of interferences among motors and doubt in identity of fault signals. Therefore, estimating the mutual influence of motors will help identifying the original signal from the environmental noise. This research aims at modelling the propagation of signals that are caused by faults of induction motors in power networks. Estimating the propagation pattern of fault signal leads to a method to discriminate and identify the original source of major events in industrial networks. Simulation results show that source of fault could be identified using this approach with a higher certainty than anticipated output coming of any individual diagnosis.

Simulating System for the Investigation of Mechanical Malfunctions Appeared in a Twin AC Drive Used in Cement Industry

In order to investigate the dynamic behavior, to study a variety of operational problems, to apply different control techniques and to suggest functional improvements of a high power electromechanical system, a pilot study on a low power laboratory simulating system is proposed in this paper. Particularly, to investigate operational problems of a twin AC drive with asynchronous machines used for cement kilns, an under-scale laboratory simulating system has been developed and experimental results are being presented in this research work.

Industrial Equipment Troubleshooting with Imaging Technique Improved Gamma-Ray Absorption Scans

Gamma scanning is one of the most common nuclear techniques on troubleshooting industrial equipments like distillation columns and reactors. With a very simple concept, the technique is easy to implement. Searching for a competitive edge the industry has been long developing solutions to achieve better results. On the last decades, significant development has been done with the advent of new equipments, electronics, portable computers and software. Continuous scanning and wireless detection systems are examples of successful field solutions, while new software aid on reporting and data presentation. However the type and quality of the results itself has not dramatically changed since its beginning. A scan profile is simple to understand, although the process to build it can be very complex as it requires a specific blend of knowledge and abilities. Process engineering, chemical engineering, internal hydraulic project, nuclear engineering and field abilities are pre requisites for of any scan specialist. Correct data gathering, interpretation and reporting are abilities often difficult to match or requires a long time of training. The industry faces a similar difficult on the customer side, as it is always necessary to train end users to understand a report and how to use its best. This paper describes our effort on developing a new approach on the gamma scan test using image reconstruction techniques that would result on a graphic image rather than a XY plot. Direct and easier to understand, a report with graphic images would be also be accessible to a wider audience, not limited to the customers experienced with gamma scan interpretation.

Study of China＇s pension merger issues

The merger of the pension not only in relation to the social justice, but also the relationship between the construction of social security system, pensions merger is beyond doubt. Pension dual track the biggest drawback is that a significant loss of fairness, the gap between different groups of pension is too wide, causing social conflicts. The merger of the pension has be imperative. Therefore, it is necessary to establish and perfect the system of the civil service pension insurance legal mandatory occupational pension system, strengthen the basic social pension, broaden the channels for pension investment, reform organs and institutions pension system and pension system Retbrm and civil service pay rise, in order to promote the reform of the civil service pension system. The merger of the pension reform is scientific and reasonable, healthy and orderly and can achieve a smooth transition.

HOW to Look at the ＂Migrant Worker Shortage＂ from an Economic Perspective

The ＂migrant worker shortage＂ which occurred several）pears ago and the recent ＂labor shortage＂ were both caused by an imbalance between the supply and demand of migrant workers. It is a periodical outcome of spontaneous adjustment by the migrant labor market. As rural welfare was greatly enhanced in 2009, migrant workers＇ opportunity cost of working outside their hometowns was raised. The connotation of migrant workers＇ ＂market price＂ is changing. The new generation of migrant workers, namely, those born after 1980, are becoming the mainstay of enterprises＇ employment. Being better educated, they have different lifestyles than previous generations. ＂Leisure and entertainment＂ have become part of their opportunity cost and reduced their labor supply. ＂Labor shortage＂ is an endogenous force that helps transform China＇s growth patter, upgrade the industrial structure and promote urbanization. The seasonal ＂return of migrant workers＂ and the ＂labor shortage＂ which appears around China＇s Spring Festival each year have grown into a unique b,t effective collective bargaining mechanism that helps increase migrant workers＇ wages. Facing labor shortages, governments should regulate the labor market pricing and orientate labor-intensive enterprises towards transition, continue to enhance the social security system for migrant workers and those in rural areas, and make an accurate forecast of the population trend and adjust population policies.

Literature review of the basic medical insurance of urban and rural integration

To set up the nation＇s covering medical insurance syslem and to the realization of the basic medical insurance of urban and rural integration, is the inevitable trend in the development of China＇s medical insurance reform, as well as it is also a key step. In recent years, the state promulgated a series of policies in promoting urban and rural medical insurance and many cities took the lead to reform form the medical insurance pattern with local characteristics. All of these are helpful for our country to realize the integration and providing valuable experience. The target of the article is to maintain the public cause of medical and health, to solve the problem of high cost of urban and rural residents to see a doctor. As well as to realize the objections of disease pro^ection, convenience, cure spends less.