Faults in Transformer Winding and Probing their Occurence by S-Transform and RBF Neural Network Technique | IJSTE JOURNAL VOL 2, ISS 9

Faults in Transformer Winding and Probing their Occurence by S-Transform and RBF Neural Network Technique

Now a days significant enhancement of certainty, reliability and economics of the power transformer is an important topic in power system engineering because among all equipment as for expedition used in electrical systems power transformer is one of the most costly piece of equipment. So that accurate diagnosis of fault has been always been a major issue. Simulation studies based on transient model of transformer winding enhance understanding of surge voltage and fault current waveforms. Those are non-stationary in nature. The non -stationary nature of current waveforms inside the transformer winding requires the model parameter to be both time and frequency dependent. it will help to detect type of fault as well as location of occurrence using simulation studies. This paper aims to present a technique for diagnosis of the type of the fault and location of occurrence. . The proposed method is based on a transient model based transformer under impulse test and S-Transform with good time frequency resolution for all frequencies (multi resolution). S-Transform is used to produce a stock well coefficient vector which utilized as inputs testing set to a Radial Basis Function Neural Network (RBF). The fault conditions are simulated by the variation of fault location according to inter turn winding of power transformer or disc. The training is conducted by programming in MATLAB. The robustness of the proposed scheme is investigated by synthetically polluting the simulated voltage signals with White Gaussian Noise. The suggested method has produced fast and accurate results. Estimation of fault location is intended to be conducted in future.

This Article is Research By Tripti Sahu, Harshwardhan Bhatia and published by IJSTE JOURNAL

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An Enhanced Image Steganography Technique using DCT, Jsteg and Data Mining Bayesian Classification Algorithm | IJSTE JOURNAL VOL 2, ISS 6

An Enhanced Image Steganography Technique using DCT, Jsteg and Data Mining Bayesian Classification Algorithm

Security of data is challenging issue and transmitting the secured data. Data is hidden is one of the techniques to the hide of the data in a secured way called Stegnography. In this paper we proposed secret image is hidden behind the cover image using Discrete Cosine Transform (DCT) and JSteg algorithm. In this algorithm all of the DCT coefficients are manipulated sequentially to hide secret image.

his Article is Research By Samata Rajesh, Nilesh Parghi, Daxa Vekariya and published by IJSTE JOURNAL

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Experimental investigation on effect of EGR on biofuel fueled HCCI engine using external fuel vaporizer- A Technical review | IJSTE JOURNAL VOL 2, ISS 7

Experimental investigation on effect of EGR on biofuel fueled HCCI engine using external fuel vaporizer- A Technical review

The Homogeneous charge compression ignition (HCCI) combustion is an alternative to current engine combustion systems. The research in HCCI is being carried out to use it as a method to reduce emissions and also enhance engine efficiency. HCCI has the potential to nearly eliminate NOx emissions while increasing efficiency as in diesel engine. HCCI adapts a pre mixture of gas-phase fuel and air being burned spontaneously and entirely by an auto ignition process. Homogeneous Charge Compression Ignition (HCCI) engines promises a high thermal efficiency combined with low levels of nitrogen oxides and particulate matter emissions. The purpose of this study is to summarise the effect of alternative fuel when used in the HCCI engine combustion process. Modification of single cylinder diesel engine runs on HCCI mode with diesel and biofuel. Installation of EGR system on HCCI engine. To study the effect of EGR rate on the engine exhaust parameter like nitrogen oxides (NOX), carbon oxides (CO and CO2), particulate matters (PM) and unburnt hydro carbons (UHC) by running the engine on HCCI mode with biofuel.

This Article is Research By Nejal N. PateL, Prof Shyam K.Dabh, Pawan Kishore Jha, Prof. Vivek G. Trivedi and published by IJSTE JOURNAL

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Experimental Analysis of Mechanical Properties in E-Glass Fiber Pipe | IJSTE JOURNAL VOL 2, ISS 8

Experimental Analysis of Mechanical Properties in E-Glass Fiber Pipe

Now a day’s composite material products are gently used in fiber industry and automobile applications. Because of it light weight, Low cost and high strength. There are various varieties of synthetic fibers are the properties were identified. But glass fiber is give high strength in low cost. The fibers it will be mixing resin to get good mechanical properties. In this work use E-glass fiber, Resin and hardener to make a composite fiber pipe. We fabricated a standard test specimen in each E-glass fiber (E-glass fiber, Resin + hardener). There addition of additives has to be done to fabricate composite fiber pipe. Finally Hardener is added improve it hardness separately and tested in Micro Hardness Test, Universal Testing Machine, from analysis we found that composite E-glass fiber, Resin + hardener got better Hardness.

This Article is Research By Muruganantham S, Chandramohan.V, Sankar.N and published by IJSTE JOURNAL

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Experimental Approach for Selection of Tool Steel Using Heat Treatment Process with MTTF and MTBF | IJSTE JOURNAL VOL-2 ISS-8

Experimental Approach for Selection of Tool Steel Using Heat Treatment Process with MTTF and MTBF

Tools steels are generally used in forming process of operation under definite mechanical properties of the sheet metal. At the same time failure of tools steels take place because of many number causes or insufficient material selection criteria. Under this paper we have taken the five samples as punch materials i.e. EN-31, OHNS, D-2, EN-9 and D-3 to find out the different causes of punch failures. Main objective is to study the effect on the hardness of tool steel after heat treatment processes. Also MTBF and MTTF are reliability terms based on methods and procedures for lifecycle predictions for a product. These terms providing a numeric value based on a compilation of data to quantify a failure rate and the resulting time of expected performance. The numeric value can be expressed using any measure of time, but hours is the most common unit in practice. Fracture surface displays typical ductile fracture, and the outer and inner surface of the part punched off is full of little bowings around which there are many micro cracks caused by the stretch stress under biaxial strain/stress state. This survey also helps to find out the failure mode appraisal in inner lower control arm and punch with their preventive methods.

This Article is Research By KIRAN S. PHAD, Prof. Ravindra E. Gite,Prof. Amol L. Khatode,Prof. Dipak S. Bajaj and published by IJSTE JOURNAL

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