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Sivakumar, D.
- Fault Detection and Diagnosis for Three-tank System Using Robust Residual Generator
Abstract Views :360 |
PDF Views:107
Authors
A. Asokan
1,
D. Sivakumar
1
Affiliations
1 Dept of E&I, Annamalai University, Annamalai Nagar-608 002, Chidambaram, IN
1 Dept of E&I, Annamalai University, Annamalai Nagar-608 002, Chidambaram, IN
Source
Indian Journal of Science and Technology, Vol 2, No 7 (2009), Pagination: 23-29Abstract
Fault detection and diagnosis (FDD) is a task to deduce from observed variable of the system if any component is faulty, to locate the faults and also to estimate the fault magnitude present in the system. The main goal when synthesizing robust residual generators, for diagnosis and supervision, is to attenuate influence from model uncertainty on the residuals while keeping fault detection performance. In this paper, a design procedure for robust residual generators is developed with two key elements. One is the use of a reference model that represents desired performance. The other is an optimization criterion, based on robust H∞ filtering, used to synthesize the residual generator.Keywords
Fault Detection, Robust Residual Generation, Structured Residual Approach, H∞ FilteringReferences
- Frank PM and Ding X (1997) Survey of robust residual generation and evaluation methods in observer-based fault detection systems. J. Process Control. 7(6), 403-424.
- Gao ZW and Wang H (2006) Descriptor observer approaches for multivariable systems with measurement noises and application in fault detection and diagnosis. Systems & Control Lett. 55 (4), 305-313.
- Gao ZW, Breikin T and Wang H (2007) High-gain estimator and fault-tolerant design with application to a gas turbine dynamic system, IEEE Trans. on Control Sys. Technol. 15 (40,.740-753.
- Gao ZW, Ding SX and Ma Y (2007) Robust fault estimation approach and its application in vehicle lateral dynamical systems, Optimal Control Appl. & Methods. 28 (3) 143-156.
- Gertler J (1998) Fault Detection of Dynamical Systems, Marcel Dekker, Inc. USA.
- Gertler J (1988) A Survey of Model Based Failure Detection and Isolation in Complex Plants. IEEE Control Systems Magazine. 8 (6) 3-11.
- Gertler J (1993) Residual generation in model based fault diagnosis. Control- Theory & Adv. Technol. 9, 259-285.
- Gertler J and Staroswiecki M (2002) Structured fault diagnosisin mildly nonlinear systems: Parity space and input-output formulation. FAC 15th World Cong., Barcelona, Spain.
- Gertler J, Staroswiecki M and Shen M (2002) Direct design of structured residuals for fault diagnosis in linear systems. American Control Conf. Anchorage, Alaska.
- Wu J, Biswas G, Abdelwahed S and Manders E (2005) A hybrid control system design and implementation for a three tank test bed In Proc. of the 2005 IEEE Conf. on Control Appl. pp: 645–650.
- KÄoppen-Seliger B, Alcorta-Garca E and Frank PM (1999) Fault detection: different strategies for modelling applied to the three tank benchmark - a case study. Eur. Control Conf. Karlsruhe, Germany.
- Size Effect Studies on Concrete Made of Natural and Artificial Sand
Abstract Views :156 |
PDF Views:0
Authors
Affiliations
1 Department of Civil Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
2 Structural Engineering Research Centre (CSIR - SERC), Chennai - 600113, Tamil Nadu, IN
1 Department of Civil Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
2 Structural Engineering Research Centre (CSIR - SERC), Chennai - 600113, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 2 (2016), Pagination:Abstract
Objective: An experimental investigation was carried out to study the size effect on concrete specimens. Methods: In order to study the size effect compressive and split tensile test were conducted on standard and high strength concrete (M30 and M60) specimens of two different sizes of cubes (150 x 150 x 150 mm and 100 x 100 x 100 mm) and cylinders (150 x 300 mm and 100 x 200 mm) made of natural and artificial sand. In addition to this, the flexural strength test was also conducted for beam (500 x 100 x 100 mm) to compare the flexural strength of the beams made of natural and artificial sand. Findings: The result showed that the larger size concrete specimen fails at a lower stress than a smaller one and it was also observed that there was no significant variation in the strength with two sizes considered. The mechanical properties obtained with natural sand and artificial sand indicates that strength obtained for artificial sand was higher than that of natural sand for both M30 and M60 grade of concrete. Applications/Improvements: From this study, it was concluded that the standard cube of 150 x 150 x 150 mm and 100 x 100 x 100 mm can be used interchangeably for the test purpose. Similarly, for split tensile strength, standard cylinder of 150 x 300 mm and 100 x 200 mm can be used interchangeably.Keywords
Artificial Sand, Mechanical Properties, Size Effect, Strength Characteristics- Comparative Analysis of Flame Image Features for Combustion Analysis
Abstract Views :157 |
PDF Views:0
Authors
Affiliations
1 St. Joseph’s College of Engineering and Technology, Palai, Bharananganam Pravithanam Road, Choondacherry-686579, Kerala, IN
2 Department of Instrumentation, Annamalai University, Rukmani Lakshmipathy Road, Egmore, Chennai-600008, Tamil Nadu, IN
3 PSNA College of Engineering and Technology, Kothandaraman Nagar, National Highway 209, Dindigul – 624622, Tamil Nadu, IN
4 Department of Instrumentation, Annamalai University, Rukmani Lakshmipathy Road, Egmore, Chennai – 600008, Tamil Nadu, IN
1 St. Joseph’s College of Engineering and Technology, Palai, Bharananganam Pravithanam Road, Choondacherry-686579, Kerala, IN
2 Department of Instrumentation, Annamalai University, Rukmani Lakshmipathy Road, Egmore, Chennai-600008, Tamil Nadu, IN
3 PSNA College of Engineering and Technology, Kothandaraman Nagar, National Highway 209, Dindigul – 624622, Tamil Nadu, IN
4 Department of Instrumentation, Annamalai University, Rukmani Lakshmipathy Road, Egmore, Chennai – 600008, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 6 (2016), Pagination:Abstract
Background/ Objective: This article identifies the best feature of the flame video, captured with a camera with frequency response in visible spectrum, from which the flame temperature can be estimated. Methods/Statistical analysis: The flame videos at different air and fuel inlets with different boiler temperatures were recorded from a diesel fired boiler prototype. In the video frames, the flame region was localised by intensity based adaptive thresholding. The correlation between boiler temperature and measures of central tendency and dispersion of different colour channels of the video frames were investigated. Findings: Among the features of the flame video, Standard deviation of blue channel grey levels above 32.95, variance greater than 1293 and mean absolute deviation (MAD) above 30.38 could efficiently represent the region of optimum combustion air supply at which boiler temperature is maximum above 684 degree Celsius. Range of green channel grey levels, interquartile mean, variance and mean absolute deviation of blue channel grey levels are the video features exhibiting maximum correlation (ρ>-0.96) with boiler temperature. Applications/Improvements: The features of the flame video which are correlated with its temperature can be utilised to develop non-intrusive methods of temperature measurement. This will enable efficient control of combustion process.Keywords
Combustion, Flame Image Processing, Flame Temperature Measurement, Image Features, Video Processing- Non-Dimensional Equation of Resistance Coefficient with Reynolds Number of Porous Medium Flow
Abstract Views :155 |
PDF Views:0
Authors
Affiliations
1 Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
2 S.V.U. College of Engineering, Tirupati - 517502, Andra Pradesh, IN
1 Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
2 S.V.U. College of Engineering, Tirupati - 517502, Andra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 11 (2016), Pagination:Abstract
Objectives: To review the Darcy’s equation and ascertain the reliability of the present experimental investigations with that of the past study. To present a non-dimensional form of relation between resistant to flow with fluid and particle parameters. To analyze the relation between Reynolds numbers with resistant coefficient (lambda) in ground water flow. Methodology: In order to achieve these objectives, experimental program planned, designed and carried out. Experiments conducted on porous medium of large spread of sizes of different materials in parallel flow permeameter for all regimes of flow. Findings: Experimental results compared with Darcy’s equation and the validity of this equation is verified. A new form of Reynolds number is derived taking hydraulic mean radius as characteristic length and seepage velocity as characteristic velocity absorbing void ratio, volume diameter, and kinematic viscosity. Another non-dimensional form of resistant co-efficient is also derived and used to get unique relation between Reynolds numbers with resistance coefficient. Applications: Observed experimental data applied in Darcy’s equations, and verified in its applicability. The derived equations can be applied in porous medium flow, such that velocity of flow can be determined, from which discharge through porous medium can be estimated.Keywords
Darcy, Friction Factor, Hydraulic Gradient, Porous Medium Flow, Reynolds Number, Velocity- An Experimental Study of Porous Medium Flow in Converging Boundary
Abstract Views :174 |
PDF Views:0
Authors
Affiliations
1 Department of Civil Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
2 Department of Civil Engineering, S.V.U. College of Engineering, Tirupati - 517502, Andra Pradesh, IN
3 Department of Mathematics, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
1 Department of Civil Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
2 Department of Civil Engineering, S.V.U. College of Engineering, Tirupati - 517502, Andra Pradesh, IN
3 Department of Mathematics, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN