Deshpande J.,PVGs COET |
Dey T.,Indian Institute of Technology Bombay |
Ghosh P.C.,Indian Institute of Technology Bombay
Energy Procedia | Year: 2014
Fuel cells find a wide range of applications ranging from table top power sources to auxiliary power units for cars and aircraft. For mobile applications, vibration becomes a crucial parameter. The study analyzes a cell of active area 150 X 200, for modal analysis. The frequencies determined from the study are ~500 Hz which are practically of greater importance. At these frequencies resonance near the gasket edges is detected from the mode shapes, which shows possible sites of hydrogen leakage. The reduction in torque at the bolt positions near the resonance sites is observed to be around 25% of the initial torque for 1 hours of study and 10g of acceleration. Contact pressure profile changes significantly after operation of the cell under vibrations. Using harmonic analysis for the obtained natural frequencies, estimation of hydrogen leakage can be performed. The study gives important insights into performance predictions of fuel cell over its operational lifetime in mobile units. © 2014 The Authors.
Shinde P.U.,JSPMs BSIOTR |
Deshmukh S.R.,PVGs COET
11th IEEE India Conference: Emerging Trends and Innovation in Technology, INDICON 2014 | Year: 2015
Though electricity is getting traded as a commodity, the price of power is more volatile than any other commodity. The price of power is controlled by many unseen and random market driven factors, such as load-demand variation, attitude of market players, fuel price variation, availability of resources etc. Due to this, market participants get exposed to price-risk and their profitability gets affected. Hence since more than a decade, risk management has become an essential task for electrify market participants. In case of conventional generation, oil, coals are the major fuels. The variability of fuel price affects the price of power. In this paper, the effect of variability of fuel price on risk is analyzed. The objective of this paper is to minimize the risk associated with fuel - price variation using portfolio optimization method. This paper explains the concept of efficient frontier, a key feature of portfolio theory and its application in fuel - price risk minimization. The results are analyzed for different combinations of fuels such as coal and oil considering two approaches: Monthly Efficient Frontier and Daily Efficient Frontier. The work suggests the approach of using daily price variation to obtain optimum portfolio. © 2014 IEEE.
Mulay S.A.,Bharati Vidyapiths COE |
Devale P.R.,Bharati Vidyapiths COE |
Garje G.V.,PVGs COET
ICNIT 2010 - 2010 International Conference on Networking and Information Technology | Year: 2010
Support Vector Machines (SVM) are the classifiers which were originally designed for binary classification. The classification applications can solve multi-class problems. Decision-tree-based support vector machine which combines support vector machines and decision tree can be an effective way for solving multi-class problems in Intrusion Detection Systems (IDS). This method can decrease the training and testing time of the IDS, increasing the efficiency of the system. The different ways to construct the binary trees divides the data set into two subsets from root to the leaf until every subset consists of only one class. The construction order of binary tree has great influence on the classification performance. In this paper we are studying two decision tree approaches: Hierarchical multiclass SVM and Tree structured multiclass SVM, to construct multiclass intrusion detection system. © 2010 IEEE.
Kulkarni P.G.,PVGs COET |
Sahasrabudhe A.D.,University of Pune
Journal of Mechanical Science and Technology | Year: 2014
In this paper a dynamic model is presented for predicting the vibration behavior of a ball bearing under the influence of localized defects on the outer race. The calculation of contact force is based on Hertzian contact deformation theory. The pulse generated by the ball striking the defect on outer race is modeled by using the blending functions of the cubic hermite spline. The effect of change in the angular position of the defect, size of the defect on outer race, multiple defects on outer race and the variation of load on the vibration amplitude is predicted by this model. A computer program in MATLAB is developed and the governing equation of motion is solved by Euler’s method. The numerical results are presented as a function of variation of the geometry of the outer race due to the impact at the defect and normal race contact w.r.t. time and the conclusion about the health of the bearing is determined by the spectral analysis. To validate the results, experimentation has also been performed. © 2014, The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.
Apte A.A.,College of Engineering, Pune |
Joshi V.A.,College of Engineering, Pune |
Walambe R.A.,PVGs COET |
Godbole A.A.,College of Engineering, Pune
IFAC-PapersOnLine | Year: 2016
Applications of Permanent magnet synchronous motor(PMSM) are increasing widely because of its inherent advantages. The mathematical model of the motor is highly nonlinear. Designing controllers for nonlinear systems is challenging. It has been seen in the literature that approximate linear model with number of assumptions is used for controller design. In this paper our contribution lies in the development of a linear state feedback controller using the Jacobian linearization of PMSM, wherein the operating point is updated adaptively using Non Linear Disturbance Observer (NLDO). With this, we eliminate all three PI controllers used in the conventional vector control. Results are verified using MATLAB/SIMULINK simulations. © 2016, IF AC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.