This paper deals with the robust power control of a grid-connected brushless doubly-fed induction generator (BDFIG) driven by the variable speed wind turbine. With the using of a super twisting algorithm which is a high-order sliding mode controller (HOSMC). This approach guarantees both the dynamic performance and the same robustness as traditional first order (SMC) algorithm and reduces the chattering phenomenon, which is the biggest disadvantage in the implementation of this technique. The developed algorithm relies on the decoupling control by implementing the strategy of oriented grid flux vector control. In order to enhance the desired performances, an attempt is made by controlling the generated stator active and reactive powers in a linear and decoupled manner to ensure the global asymptotical stability, HOSMC approach is implemented. Therefore, an optimal operation of the BDFIG in sub-synchronous operation is used in addition to the stator power flows where the stator power factor is kept in a unity. The suggested method is examined with the Matlab/Simulink software. The performances and the feasibility of the designed control are illustrated by simulation results.

This paper deals with the robust power control of a grid-connected brushless doubly-fed induction generator (BDFIG) driven by the variable speed wind turbine. With the using of a super twisting algorithm which is a high-order sliding mode controller (HOSMC). This approach guarantees both the dynamic performance and the same robustness as traditional first order (SMC) algorithm and reduces the chattering phenomenon, which is the biggest disadvantage in the implementation of this technique. The developed algorithm relies on the decoupling control by implementing the strategy of oriented grid flux vector control. In order to enhance the desired performances, an attempt is made by controlling the generated stator active and reactive powers in a linear and decoupled manner to ensure the global asymptotical stability, HOSMC approach is implemented. Therefore, an optimal operation of the BDFIG in sub-synchronous operation is used in addition to the stator power flows where the stator power factor is kept in a unity. The suggested method is examined with the Matlab/Simulink software. The performances and the feasibility of the designed control are illustrated by simulation results.

This paper deals with the robust power control of a grid-connected brushless doubly-fed induction generator (BDFIG) driven by the variable speed wind turbine. With the using of a super twisting algorithm which is a high-order sliding mode controller (HOSMC). This approach guarantees both the dynamic performance and the same robustness as traditional first order (SMC) algorithm and reduces the chattering phenomenon, which is the biggest disadvantage in the implementation of this technique. The developed algorithm relies on the decoupling control by implementing the strategy of oriented grid flux vector control. In order to enhance the desired performances, an attempt is made by controlling the generated stator active and reactive powers in a linear and decoupled manner to ensure the global asymptotical stability, HOSMC approach is implemented. Therefore, an optimal operation of the BDFIG in sub-synchronous operation is used in addition to the stator power flows where the stator power factor is kept in a unity. The suggested method is examined with the Matlab/Simulink software. The performances and the feasibility of the designed control are illustrated by simulation results.

Purpose The purpose of this paper is to validate a fuzzy risk graph model through a case study results carried out on a safety instrumented system (SIS). Design/methodology/approach The proposed model is based on an inference fuzzy system and deals with uncertainty data used as inputs of the conventional risk graph method. The coherence and redundancy of the developed fuzzy rules base are first verified in the case study. A new fuzzy model is suggested for a multi-criteria characterization of the avoidance possibility parameter. The fuzzy safety integrity level (SIL) is determined for two potential accident scenarios. Findings The applicability of the proposed fuzzy model on SIS shows the importance and pertinence of the proposed fuzzy model as decision-making tools in preventing industrial hazards while taking into consideration uncertain aspects of the data used on the conventional risk graph method. The obtained results show that the use of continuous fuzzy scales solves the problem of interpreting results and provides a more flexible structure to combine risk graph parameters. Therefore, a decision is taken on the basis of precise integrity level values and protective actions in the real world are suggested. Originality/value Fuzzy logic-based safety integrity assessment allows assessment of the SIL in a more realistic way by using the notion of the linguistic variable for representing information that is qualitative and imprecise and, therefore, ensures better decision making on risk prevention.

Purpose The purpose of this paper is to validate a fuzzy risk graph model through a case study results carried out on a safety instrumented system (SIS). Design/methodology/approach The proposed model is based on an inference fuzzy system and deals with uncertainty data used as inputs of the conventional risk graph method. The coherence and redundancy of the developed fuzzy rules base are first verified in the case study. A new fuzzy model is suggested for a multi-criteria characterization of the avoidance possibility parameter. The fuzzy safety integrity level (SIL) is determined for two potential accident scenarios. Findings The applicability of the proposed fuzzy model on SIS shows the importance and pertinence of the proposed fuzzy model as decision-making tools in preventing industrial hazards while taking into consideration uncertain aspects of the data used on the conventional risk graph method. The obtained results show that the use of continuous fuzzy scales solves the problem of interpreting results and provides a more flexible structure to combine risk graph parameters. Therefore, a decision is taken on the basis of precise integrity level values and protective actions in the real world are suggested. Originality/value Fuzzy logic-based safety integrity assessment allows assessment of the SIL in a more realistic way by using the notion of the linguistic variable for representing information that is qualitative and imprecise and, therefore, ensures better decision making on risk prevention.

An increasing interest and efforts are being made at all levels by academics and practitioners to protect the workers and encourage the development of strategies and approaches to reduce the number of accidents at the workplace, improve the safety performance of the industrial companies and preserve the environmental health. In spite of the continuous efforts of the Algerian companies to improve their health and safety performance, high number of accidents and ill-health problems among the Algerian companies are still being recorded. In terms of definition, the Environmental Health refers to human’s health aspects including quality of life. These aspects are defined by the physical, biological, social and psychosocial factors of the environment. It includes also the theory and practice of assessing, correcting, controlling and preventing these factors in an environment which may potentially affect human’s health.This paper comes to explore the contribution of the alignment of the cluster cultural aspects (CA), health and Safety strategy (H&SS) and people (P) as a way to improve the environmental health, particularly the Musculoskeletal disorders (MSDs) that present one of the prominent and significant health problems at work.

An increasing interest and efforts are being made at all levels by academics and practitioners to protect the workers and encourage the development of strategies and approaches to reduce the number of accidents at the workplace, improve the safety performance of the industrial companies and preserve the environmental health. In spite of the continuous efforts of the Algerian companies to improve their health and safety performance, high number of accidents and ill-health problems among the Algerian companies are still being recorded. In terms of definition, the Environmental Health refers to human’s health aspects including quality of life. These aspects are defined by the physical, biological, social and psychosocial factors of the environment. It includes also the theory and practice of assessing, correcting, controlling and preventing these factors in an environment which may potentially affect human’s health.This paper comes to explore the contribution of the alignment of the cluster cultural aspects (CA), health and Safety strategy (H&SS) and people (P) as a way to improve the environmental health, particularly the Musculoskeletal disorders (MSDs) that present one of the prominent and significant health problems at work.

An increasing interest and efforts are being made at all levels by academics and practitioners to protect the workers and encourage the development of strategies and approaches to reduce the number of accidents at the workplace, improve the safety performance of the industrial companies and preserve the environmental health. In spite of the continuous efforts of the Algerian companies to improve their health and safety performance, high number of accidents and ill-health problems among the Algerian companies are still being recorded. In terms of definition, the Environmental Health refers to human’s health aspects including quality of life. These aspects are defined by the physical, biological, social and psychosocial factors of the environment. It includes also the theory and practice of assessing, correcting, controlling and preventing these factors in an environment which may potentially affect human’s health.This paper comes to explore the contribution of the alignment of the cluster cultural aspects (CA), health and Safety strategy (H&SS) and people (P) as a way to improve the environmental health, particularly the Musculoskeletal disorders (MSDs) that present one of the prominent and significant health problems at work.

Faced with different representation models of a work situation whose centers of interest vary from one model to another, guides have been developed to try and analyze occupational risks in their entirety. However, the development of these guides poses a double problem: the completeness of this analysis and the order attributed to the analyzed occupational risks. This article aims to solve this problem through a systemic approach that allows to develop a hierarchical model of occupational risks invariants. Its exploitation allows to carry out an exhaustive analysis of occupational risks and consequently the elaboration of a long-term strategy of prevention.

Faced with different representation models of a work situation whose centers of interest vary from one model to another, guides have been developed to try and analyze occupational risks in their entirety. However, the development of these guides poses a double problem: the completeness of this analysis and the order attributed to the analyzed occupational risks. This article aims to solve this problem through a systemic approach that allows to develop a hierarchical model of occupational risks invariants. Its exploitation allows to carry out an exhaustive analysis of occupational risks and consequently the elaboration of a long-term strategy of prevention.

Faced with different representation models of a work situation whose centers of interest vary from one model to another, guides have been developed to try and analyze occupational risks in their entirety. However, the development of these guides poses a double problem: the completeness of this analysis and the order attributed to the analyzed occupational risks. This article aims to solve this problem through a systemic approach that allows to develop a hierarchical model of occupational risks invariants. Its exploitation allows to carry out an exhaustive analysis of occupational risks and consequently the elaboration of a long-term strategy of prevention.

Faced with different representation models of a work situation whose centers of interest vary from one model to another, guides have been developed to try and analyze occupational risks in their entirety. However, the development of these guides poses a double problem: the completeness of this analysis and the order attributed to the analyzed occupational risks. This article aims to solve this problem through a systemic approach that allows to develop a hierarchical model of occupational risks invariants. Its exploitation allows to carry out an exhaustive analysis of occupational risks and consequently the elaboration of a long-term strategy of prevention.

Purpose The purpose of this paper is to deal with the allocation requirements of the dependability of the multiphase systems. Design/methodology/approach It consists of a proposal for a combined methodology based on the simultaneous use of decomposition systems and reliability allocation method. Findings In the developed methodology, the authors use the principles of risk assessment and propose a new formulation of weight allowance with reference to the structural-functional dependence. Practical implications The suggested methodology provides invaluable help to implementation process analysis. Originality/value The adopted allocation approach is based on the use of a three-dimensional model: temporal, structural and functional decomposition of systems.