cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
,
INDONESIA
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN : 20893272     EISSN : -     DOI : -
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the engineering of Telecommunication and Information Technology, Applied Computing & Computer, Instrumentation & Control, Electrical (Power), Electronics, and Informatics.
Arjuna Subject : -
Articles 5 Documents
Search results for , issue "Vol 2, No 2: June 2014" : 5 Documents clear
Performance Analysis of Increased Safety HT Induction Motor with Higher Stator Coil Pitch for Classified Hazardous Area B. Ahirwal; T. K. Chatterjee
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (164.016 KB) | DOI: 10.52549/ijeei.v2i2.102

Abstract

The increased safety (Ex e) high tension (HT) motors are widely used in the petroleum industries and area where explosive atmosphere is present. The time tE and IA/IN ratio value is very important for Ex e motor. The time tE of rotor and or stator winding, IA/IN ratio and temperature rise can be affected by increasing the stator coil pitch. The coil pitch of stator were increased for three different ratings of three phase HT Ex e induction motors and redesigned for analyzing the temperature rise, tE and performance. The relevant tests were performed and performance characteristic of motor was compared with normal design motor. The Ex e motors mentioned in this paper had been manufactured by Bharat Heavy Electricals Ltd. (BHEL), Bhopal, India during the project as per the design and guidance of main author as project leader. It is anticipated that the research work presented in this paper will be of immense benefit to Ex e HT motor designers.
Dynamic Value Engineering Method Optimizing the Risk on Real Time Operating System Prashant Kumar Patra; Padma Lochan Pradhan
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.583 KB) | DOI: 10.52549/ijeei.v2i2.103

Abstract

The value engineering is the umbrella of the many more sub-system like quality assurance, quality control, quality function design and development for manufacturability. The system engineering & value engineering is two part of the coin. The value engineering is the high level of technology management for every aspect of engineering fields. The value engineering is the high utilization of System Product (i.e. Processor, Memory & Encryption key), Services, Business and Resources at minimal cost. The high end operating system providing highest services at optimal cost & time. The value engineering provides the maximum performance, accountability, reliability, integrity and availability of processor, memory, encryption key and other inter dependency sub-components. The value engineering is the ratio of the maximum functionality of individual components to the optimal cost. VE=k [(P, M, E, C, A)]/optimal cost. Where k is the proportionality constant. The VE is directly proportional to performance of individual components and inversely proportional to the minimal cost. The VE is directly proportional to the risk assessment. The VE maximize the business throughput & decision process mean while minimize the risk and down time. We have to develop the dynamic value engineering model & mechanism for risk optimization over a complex real time operating system This proposed composition model definite will be resolve our objective at top high level. Product
Atmosphere Clouds Model Algorithm for Solving Optimal Reactive Power Dispatch Problem Lenin Kanagasabai; B.Ravindranath Reddy; M.Surya Kalavathi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.004 KB) | DOI: 10.52549/ijeei.v2i2.104

Abstract

In this paper, a new method, called Atmosphere Clouds Model (ACM) algorithm, used for solving optimal reactive power dispatch problem. ACM stochastic optimization algorithm stimulated from the behavior of cloud in the natural earth. ACM replicate the generation behavior, shift behavior and extend behavior of cloud. The projected (ACM) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed algorithm in plummeting the real power loss.
Voltage Profile Enhancement and Reduction of Real Power loss by Hybrid Biogeography Based Artificial Bee Colony algorithm K. Lenin; B.Ravindranath Reddy
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.013 KB) | DOI: 10.52549/ijeei.v2i2.109

Abstract

This paper presents Hybrid Biogeography algorithm for solving the multi-objective reactive power dispatch problem in a power system. Real Power Loss minimization and maximization of voltage stability margin are taken as the objectives. Artificial bee colony optimization (ABC) is quick and forceful algorithm for global optimization. Biogeography-Based Optimization (BBO) is a new-fangled biogeography inspired algorithm. It mainly utilizes the biogeography-based relocation operator to share the information among solutions. In this work, a hybrid algorithm with BBO and ABC is projected, and named as HBBABC (Hybrid Biogeography based Artificial Bee Colony Optimization), for the universal numerical optimization problem. HBBABC merge the searching behavior of ABC with that of BBO. Both the algorithms have different solution probing tendency like ABC have good exploration probing tendency while BBO have good exploitation probing tendency.  HBBABC used to solve the reactive power dispatch problem and the proposed technique has been tested in standard IEEE30 bus test system.
A Survey on Topology Control and Maintenance in Wireless Sensor Networks Manish Singh
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (37.29 KB) | DOI: 10.52549/ijeei.v2i2.110

Abstract

Wireless Sensor Networks (WSNs) consist of devices equipped with radio transceivers that cooperate to form and maintain a fully connected network of sensor nodes. WSNs do not have a fixed infrastructure and do not use centralized methods for organization. This flexibility enables them to be used whenever a fixed infrastructure is unfeasible or inconvenient, hence making them attractive for numerous applications ranging from military, civil, industrial or health. Because of their unique structure, and limited energy storage, computational and memory resources, many of the existing protocols and algorithms designed for wired or wireless ad hoc networks cannot be directly used in WSNs. Beside this, they offer a flexible low cost solution to the problem of event monitoring, especially in places with limited accessibility or that represent danger to humans. Applications of  large scale WSNs are becoming a reality example are being a Smart Grid, Machine to Machine communication networks and smart environment. It is expected that a topology control techniques will play an important role in managing the complexity of such highly complicated and distributed systems through self-organization capabilities. WSNs are made of resource constrained wireless devices, which require energy efficient mechanisms, algorithm/protocol. Control on topology is very important for efficient utilization of networks and is composed of two mechanisms, Topology Construction (TC) and Topology Maintenance (TM). By using these mechanism various protocols/algorithm have came into existence, like: A3, A3-Coverage (A3-Cov), Simple Tree, Just Tree, etc. This paper provides a full view of the studies of above mentioned algorithms and also provides an analysis of their merits and demerits.

Page 1 of 1 | Total Record : 5