Indian National Institute of Engineering

Mysore, India

Indian National Institute of Engineering

Mysore, India
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Mahapatro A.,Indian National Institute of Engineering | Khilar P.M.,National Institute of Technology Rourkela
IEEE Communications Surveys and Tutorials | Year: 2013

The sensor nodes in wireless sensor networks may be deployed in unattended and possibly hostile environments. The ill-disposed environment affects the monitoring infrastructure that includes the sensor nodes and the network. In addition, node failures and environmental hazards cause frequent topology changes, communication failures, and network partitioning. This in turn adds a new dimension to the fragility of the network topology. Such perturbations are far more common than those found in conventional wireless networks thus, demand efficient techniques for discovering disruptive behavior in such networks. Traditional fault diagnosis techniques devised for multiprocessor systems are not directly applicable to wireless sensor networks due to their specific requirements and limitations. This survey integrates research efforts that have been produced in fault diagnosis specifically for wireless sensor networks. The survey aims at clarifying and uncovering the potential of this technology by providing the technique-based taxonomy. The fault diagnosis techniques are classified based on the nature of the tests, correlation between sensor readings and characteristics of sensor nodes and the network. © 1998-2012 IEEE.


Panda S.,Indian National Institute of Engineering
International Journal of Electrical Power and Energy Systems | Year: 2011

Design of an optimal controller requires optimization of multiple performance measures that are often noncommensurable and competing with each other. Design of such a controller is indeed a multi-objective optimization problem. Non-Dominated Sorting in Genetic Algorithms-II (NSGA-II) is a popular non-domination based genetic algorithm for solving multi-objective optimization problems. This paper investigates the application of NSGA-II technique for the tuning of a Proportional Integral Derivate (PID) controller for a Flexible AC Transmission System (FACTS)-based stabilizer. The design objective is to improve the damping of power system when subjected to a disturbance with minimum control effort. The proposed technique is applied to generate Pareto set of global optimal solutions to the given multi-objective optimization problem. Further, a fuzzy-based membership value assignment method is employed to choose the best compromise solution from the obtained Pareto solution set. Simulation results are presented and compared with a conventionally designed PID controller under various loading conditions and disturbances to show the effectiveness and robustness of the proposed approach. Finally, the proposed design approach is extended to a multi-machine power system to damp the modal oscillations with minimum control efforts. © 2011 Elsevier Ltd. All rights reserved.


Sharma S.,Indian National Institute of Engineering
International Journal of Advanced Manufacturing Technology | Year: 2011

In the case of the manufacturer-supplier relationship, suppliers are often advised to speedup their activities or expedite their operations. This leads to enhancing the production rate. In many cases, quality defects increase with an increase in production rate. In the absence of a suitable analytical tool, a supplier may become hesitant to decide in favor of this decision. In previous research by the author, a modification has been suggested concerning the flexibility in production rate. That formulation has been used with an inclusion of quality level to analyze the discussed case in this paper. Every company also faces this problem from time to time whether it is in supply chain relationship or independent. The proposed discussion is expected to be useful in many business/industrial situations. © 2010 Springer-Verlag London Limited.


Panda S.,Indian National Institute of Engineering
International Journal of Electrical Power and Energy Systems | Year: 2011

A robust coordination scheme to improve the stability of a power system by optimal design of multiple and multi-type damping controllers is presented in this paper. The controllers considered are power system stabilizer (PSS) and static synchronous series compensator (SSSC)-based controller. Local measurements are provided as input signals to all the controllers. The coordinated design problem is formulated as an optimization problem and differential evolution (DE) algorithm is employed to search for the optimal controller parameters. The performance of the proposed controllers is evaluated for both single-machine infinite-bus power system and multi-machine power system. Nonlinear simulation results are presented over a wide range of loading conditions and system configurations to show the effectiveness and robustness of the proposed coordinated design approach. It is observed that the proposed controllers provide efficient damping to power system oscillations under a wide range of operating conditions and under various disturbances. Further, simulation results show that, in a multi-machine power system, the modal oscillations are effectively damped by the proposed approach. © 2011 Elsevier Ltd. All rights reserved.


Panda S.,Indian National Institute of Engineering
Journal of the Franklin Institute | Year: 2011

Power-system stability improvement by a static synchronous series compensator (SSSC)-based damping controller is thoroughly investigated in this paper. Both local and remote signals with associated time delays are considered in the present study. The design problem of the proposed controller is formulated as an optimization problem, and differential evolution (DE) algorithm is employed to search for the optimal controller parameters. The performances of the proposed controllers are evaluated under different disturbances for both single-machine infinite-bus power system and multi-machine power system. The performance of the proposed controllers with variations in the signal transmission delays has also been investigated. Simulation results are presented and compared with a recently published modern heuristic optimization technique under various disturbances to show the effectiveness and robustness of the proposed approach. The performances of the proposed controllers are also evaluated under N-2 contingency situation. © 2010 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.


Khuntia S.R.,Indian National Institute of Engineering | Panda S.,Indian National Institute of Engineering
Applied Soft Computing Journal | Year: 2012

This paper deals with the application of artificial neural network (ANN) based ANFIS approach to automatic generation control (AGC) of a three unequal area hydrothermal system. The proposed ANFIS controller combines the advantages of fuzzy controller as well as quick response and adaptability nature of ANN. Appropriate generation rate constraints (GRC) have been considered for the thermal and hydro plants. The hydro area is considered with an electric governor and thermal area is considered with reheat turbine. The design objective is to improve the frequency and tie-line power deviations of the interconnected system. 1% step load perturbation has been considered occurring either in any individual area or occurring simultaneously in all the areas. It is a maiden application of ANFIS approach to a three unequal area hydrothermal system with GRC considering perturbation in a single area as well as in all areas. The performance of the ANFIS controller is compared with the results of integral squared error (ISE) criterion based integral controller published previously. Simulation results are presented to show the improved performance of ANFIS controller in comparison with the conventional integral controller. The results indicate that the controllers exhibit better performance. In fact, ANFIS approach satisfies the load frequency control requirements with a reasonable dynamic response. © 2011 Elsevier B.V. All rights reserved.


Sharma S.,Indian National Institute of Engineering
International Journal of Production Economics | Year: 2010

In a production environment, quality levels vary owing to various operational constraints. In an operational environment, the total relevant cost includes (i) production time cost, (ii) manufacturing facility setup cost and (iii) inventory carrying cost. Production time cost relates to the time for which a manufacturing facility runs. Setup cost is concerned with the expenditure incurred in arranging a facility to produce certain item. This is irrespective of the production quantity in one setup. Inventory carrying cost is estimated on the basis of an average inventory held in the system. Additionally a shortage cost is also incorporated in cases where the shortages are allowed. Variation in the quality level will affect the costs. Sometimes a decision has to be taken by either manufacturer or supplier to allow for high quality defects. These should be on the basis of certain principles/policies. Modifications are often made in the design of products so that the quality problems are less. Such design/development project costs the company and a decision is to be taken whether it is justified. The present paper develops certain policies which will be useful in supporting the decisions related to quality level. A strategic framework concerning supplier categorization/selection is also discussed. Few relevant propositions are further developed after providing a basic structure for their generation. In order to extend and develop the theory, shortages are briefly incorporated in the analysis. These shortages may be backordered completely or partially. © 2010 Elsevier B.V. All rights reserved.


Sangle S.,Indian National Institute of Engineering
Business Strategy and the Environment | Year: 2010

Proactive environmental strategies are beyond extant laws and it is important to understand why companies go beyond compliance. The paper discusses motivations behind their adoption of proactive environmental strategies in India. The research results show that institutional pressure is the most significant determinant of adoption of proactive environmental strategies. Other factors such as managerial attitude, business case of environmental investments and productivity enhancement initiatives are also significant. Based on the research findings, the paper proposes some important managerial implications in connection with adoption of proactive environmental strategies. Copyright © 2010 John Wiley & Sons, Ltd and ERP Environment.


Panda S.,Indian National Institute of Engineering
Journal of the Franklin Institute | Year: 2010

Design of an optimal controller requires optimization of multiple performance measures that are often noncommensurable and competing with each other. Design of such a controller is indeed a multi-objective optimization problem. Non-dominated sorting in genetic algorithms-II (NSGA-II) is a popular non-domination based genetic algorithm for solving multi-objective optimization problems. This paper investigates the application of NSGA-II technique for the design of a flexible AC transmission system (FACTS)-based controller. The design objective is to improve the stability of the power system with minimum control effort. The proposed technique is applied to generate Pareto set of global optimal solutions to the given multi-objective optimization problem. Further, a fuzzy-based membership value assignment method is employed to choose the best compromise solution from the obtained Pareto solution set. Further, a detailed analysis on the selection of control signals (both local and remote signals) on the effectiveness of the proposed controller is carried out and simulation results are presented under various loading conditions and disturbances to show the effectiveness and robustness of the proposed approach. © 2010 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.


Suresha S.,Indian National Institute of Engineering | Sridhara B.K.,Indian National Institute of Engineering
Composites Science and Technology | Year: 2010

This investigation studies the dry sliding wear behaviour of Al matrix composites reinforced with Gr and SiC particulate up to 10%, to study the effect of % reinforcement, load, sliding speed and sliding distance on stir cast Al-SiC-Gr hybrid composites, Al-Gr and Al-SiC composites. Parametric studies indicate that the wear of hybrid composites has a tendency to increase beyond% reinforcement of 7.5% as its values are 0.0242. g, 0.0228. g and 0.0234. g respectively at 3%, 7.5% and 10% reinforcement. The corresponding values are 0.0254. g, 0.0240. g and 0.0242. g in Al-Gr composites and 0.0307. g, 0.0254. g and 0.0221. g in Al-SiC composites, clearly indicating that hybrid composites exhibit better wear characteristics. Increase of speed reduces wear and increase of either load or sliding distance or both increases wear. Statistical analysis has revealed interactions among load, sliding speed and sliding distance in composites with Gr particulates. © 2010 Elsevier Ltd.

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