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Journal of Instrumentation Technology

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Website: http://www.sciepub.com/journal/JIT

Content: Volume 2, Issue 1

Article

Power Losses and Temperature Variations in a Power Converter for an Electronic Power Steering System Considering Steering Profiles

1School of Mechatronics Engineering, Harbin Institute of Technology, 150001 Harbin, China


Journal of Instrumentation Technology. 2014, 2(1), 40-46
DOI: 10.12691/jit-2-1-6
Copyright © 2014 Science and Education Publishing

Cite this paper:
Yong-feng Guo, Xin-lei Ma, Ping Shi. Power Losses and Temperature Variations in a Power Converter for an Electronic Power Steering System Considering Steering Profiles. Journal of Instrumentation Technology. 2014; 2(1):40-46. doi: 10.12691/jit-2-1-6.

Correspondence to: Yong-feng  Guo, School of Mechatronics Engineering, Harbin Institute of Technology, 150001 Harbin, China. Email: yongfengguo_sci@163.com

Abstract

Estimates of the lifespans of components in the power converter of electronic power steering (EPS) system are necessary for driving safety and comfort, and require accurate predictions of temperatures and power losses. Temperature profiles, including steady-state and transient conditions, are difficult to measure in actual vehicle operations. This study investigates a method to accurately calculate the power losses in the converter in an EPS system based on measured automobile steering cycles, the driving profile, and the currents and voltages of the semiconductor devices. In addition, the temperature variations in the electronic components are studied. This methodology is based on the relationship between temperature cycles and thermal resistance. The power loss and temperature model, which is implemented in MATLAB/Simulink, allows for the simulation of various power device losses, temperature and thermal resistances variations. The method is then verified for an EPS power converter. The power losses and temperature variations in the electronic components can be calculated, and these calculate values can be used to predict the reliability of the EPS system.

Keywords

References

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Article

Biosensors: A Modern Day Achievement

1Department of Biotechnology, Sapthagiri College of Engineering, Bangalore, Karnataka, India


Journal of Instrumentation Technology. 2014, 2(1), 26-39
DOI: 10.12691/jit-2-1-5
Copyright © 2014 Science and Education Publishing

Cite this paper:
Shruthi GS, Amitha CV, Blessy Baby Mathew. Biosensors: A Modern Day Achievement. Journal of Instrumentation Technology. 2014; 2(1):26-39. doi: 10.12691/jit-2-1-5.

Correspondence to: Blessy  Baby Mathew, Department of Biotechnology, Sapthagiri College of Engineering, Bangalore, Karnataka, India. Email: blessym21@gmail.com

Abstract

The term biosensor is often used to cover sensor devices used in order to determine the concentration of substances and other parameters of biological interest even where they do not utilize a biological system directly. This review discusses recent advances in biosensor technology which draw on the disciplines of physics, chemistry, biochemistry and electronics. This article states that a biosensor consists of three components, a biological detection system, a transducer and an output system. Biological receptors are briefly reviewed, followed by a detailed discussion of immobilization procedures for the efficacious attachment of receptor molecules to a transducer surface. Widely used in the fields of research and development in this field is wide and multidisciplinary, spanning biochemistry, bioreactor science, physical chemistry, electrochemistry, electronics and software engineering.

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References

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Article

The Design of Robust Soft Sensor Using ANFIS Network

1Department of Instrumentation and Automation engineering, Petroleum University of Technology, Ahvaz, Iran

2Department of Basic Sciences, Petroleum University of Technology, Ahvaz, Iran


Journal of Instrumentation Technology. 2014, 2(1), 9-16
DOI: 10.12691/jit-2-1-3
Copyright © 2014 Science and Education Publishing

Cite this paper:
Hamed Hosseini, Mehdi Shahbazian, Mohammad Ali Takassi. The Design of Robust Soft Sensor Using ANFIS Network. Journal of Instrumentation Technology. 2014; 2(1):9-16. doi: 10.12691/jit-2-1-3.

Correspondence to: Hamed  Hosseini, Department of Instrumentation and Automation engineering, Petroleum University of Technology, Ahvaz, Iran. Email: hamedehosseini@gmail.com

Abstract

A soft Sensor is a model which is used to estimate the unmeasurable output of an industrial process. Designing a soft sensor is usually difficult because its modeling is often based on case data. These data commonly contain the outliers and noise as soft sensor design is been problem. In order to solve the problem and successfully design a soft sensor, this paper introduces a new approach for designing a robust soft sensor which is not affected by outliers especially batch outlier and long tail noise. To response this goal, a robust soft sensor based on Adaptive Neuro-Fuzzy Inference System (ANFIS) which is based on robust cost function such as the summation of the absolute cost function. To minimize the cost function the particle swarm optimization (PSO) algorithm was used. The subtractive clustering technique was used to determine the ANFIS structure. The proposed method for designing a soft sensor is implemented on a chemical plant and compared with soft sensor based on ANFIS which is based on quadratic cost function. The simulation result shows higher accuracy in prediction of output variable in new robust soft sensor.

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References

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Article

The Modified Resonant Method for Measuring the Velocity Factor of the Electromagnetic Wave in the Microstrip Transmission Line

1Radio Engineering Department of the Engineering Physics and Radio Electronics Institute of the Siberian Federal University, Krasnoyarsk, Russia


Journal of Instrumentation Technology. 2014, 2(1), 5-8
DOI: 10.12691/jit-2-1-2
Copyright © 2014 Science and Education Publishing

Cite this paper:
Alexey Kopylov, Yuri Salomatov, Alexander Senchenko. The Modified Resonant Method for Measuring the Velocity Factor of the Electromagnetic Wave in the Microstrip Transmission Line. Journal of Instrumentation Technology. 2014; 2(1):5-8. doi: 10.12691/jit-2-1-2.

Correspondence to: Alexey  Kopylov, Radio Engineering Department of the Engineering Physics and Radio Electronics Institute of the Siberian Federal University, Krasnoyarsk, Russia. Email: kopaph@yandex.ru

Abstract

To measure the real value of velocity factor of the electromagnetic waves in the microwave microstrip transmission line was developed a modified resonant method and implements its measuring system. This system is using measuring the resonant frequency of a closed on the end one wave microstrip resonator. The method is designed to determine the velocity factor of the electromagnetic wave in the microstrip transmission line on substrates “policor” (95% Al2O3) for a small batch of microwave hybrid integrated circuits.

Keywords

References

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Article

Study on a Hazardous Environment Monitoring and Control using Virtual Instrumentation

1Rerearch and Development Centre, Bharathiar University, Coimbatore, INDIA

2Department of Electronics and Instrumentation, Bharathiar University, Coimbatore, INDIA


Journal of Instrumentation Technology. 2014, 2(1), 1-4
DOI: 10.12691/jit-2-1-1
Copyright © 2014 Science and Education Publishing

Cite this paper:
Sureshkumar A, S. Muruganand. Study on a Hazardous Environment Monitoring and Control using Virtual Instrumentation. Journal of Instrumentation Technology. 2014; 2(1):1-4. doi: 10.12691/jit-2-1-1.

Correspondence to: Sureshkumar  A, Rerearch and Development Centre, Bharathiar University, Coimbatore, INDIA. Email: sureshkumarelex@gmail.com

Abstract

This paper proposes a hazardous environment monitoring and control for monitoring information concerning safety and security, utilizing Wireless Sensor Network (WSN) technology. The proposed hazardous environment monitoring and control collects industrial environmental safety and security information from both inside and outside industry environment through WSN-based sensors, collects image information through vision system, and collects location information through wireless radio modules. This collected information is converted into a database through the Virtual Environment Monitoring Server consisting of a sensor manager, image information manager and wireless radio manager. The sensor manager manages information collected from the WSN sensors, the image information manager manages image information collected from vision system and the wireless radio manager processes the location information of the hazardous environment. In addition, a power supply based on solar cell and battery back-up is implemented with the central control unit so that it could also be used in environments with insufficient power infrastructure. Immediately after the occurrence of accident, the Accident Data Recorder (ADR) automatically logs the wireless sensors and vision system data for the legal verification and judicial purpose. This data can be used as a First Information Report (FIR) for accident damage investigation and estimation. And it could be expected that the usage of such a system could contribute to increasing safety and security.

Keywords

References

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