<?xml version="1.0" encoding="UTF-8"?>
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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/125" />
  <subtitle />
  <id>http://localhost:8081/jspui/handle/123456789/125</id>
  <updated>2025-08-01T19:10:07Z</updated>
  <dc:date>2025-08-01T19:10:07Z</dc:date>
  <entry>
    <title>WATER BALANCE STUDY OF CANAL COMMAND AREA</title>
    <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/17784" />
    <author>
      <name>A, Suresh</name>
    </author>
    <id>http://localhost:8081/jspui/handle/123456789/17784</id>
    <updated>2025-07-06T11:56:54Z</updated>
    <published>2015-05-01T00:00:00Z</published>
    <summary type="text">Title: WATER BALANCE STUDY OF CANAL COMMAND AREA
Authors: A, Suresh
Abstract: Water is a renewable natural resource which availability is limited. Water is most crucial for maintaining an environment and ecosystem conductive to sustain all forms of life. Water is allocated for agriculture, drinking, domestic use, industries, power generations and other use. The demand of water for these sectors is increasing as population increases.Water balance study is a means of solution of important theoretical and practical hydrological problems. A water budget is used to calculate an allowable amount of water to be used by various sectors and gives solution to water deficit problem. My study area is West Allahabad Branch canal which is located in Uttar Pradesh, India. West Allahabad Branch canal is one of the branches of Lower Ganga Canal system. The water from this canal is allocated for various sectors in that region. The water from West Allahabad Branch canal has to be allocated for future power sector projects. The possibility of allocation of water to other projects without affecting the demand pattern has to be checked by the water balance study of the region. West Allahabad Branch canal is a branch of Kanpur branch canal which covers the four districts of Uttar Pradesh. The main input of water to study area is through precipitation and canal. The annual rainfall of study area is calculated. The water From study area is gone out by evaporation, evapotranspiration and seepage. The balance between input and output of water for study is calculated. By analysing the water balance study of the region the water can be allocated to any future projects.</summary>
    <dc:date>2015-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>PERFORMANCE OF INDUCTION MOTOR DRIVE UNDER SENSOR FAULT</title>
    <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/17783" />
    <author>
      <name>Singh, Teg Bahadur</name>
    </author>
    <id>http://localhost:8081/jspui/handle/123456789/17783</id>
    <updated>2025-07-06T11:56:40Z</updated>
    <published>2015-05-01T00:00:00Z</published>
    <summary type="text">Title: PERFORMANCE OF INDUCTION MOTOR DRIVE UNDER SENSOR FAULT
Authors: Singh, Teg Bahadur
Abstract: The detection of sensor fault and its isolation when DFIM is used in wind turbines gain interest so as to enhance the reliability and avail of distributed energy systems with latest unmatched growth in construction of offshore wind farms. The DFIM employed in wind warm coupled with wind turbine can be operated as a generator and motor. First we allowed to run DFIM as generator and three types of sensor fault are incurred in all three types of sensor (speed sensor, rotor current sensor, stator current sensor). The three types of fault which are incurred i) open circuit fault ii) gain fault iii) saturation fault. The whole thing is done by allowing to run DFIM as motor. 4. Performance study of DFIM is made after creating fault by collecting the waveform (which are discussed later) in MATLAB simulation environment. During the situation when sensor become out of service there is some changes in the performance of the machine, thus in this way we can analyze the behavior of a machine and allowed to help us to make certain preventive measure against the situation that may be arise out because of faulty situation. The parameter uncertainties due to changes in the operating It conditions will produce poor performance of the machine. The robust techniques to detect faults are exist but there is a need of extra modification in them. All this type of study work is done in MATLAB Simulink environment.</summary>
    <dc:date>2015-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>ASSESSMENT OF DROUGHT FOR MITIGATION</title>
    <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/17782" />
    <author>
      <name>B M, Thajuddin Ubaid</name>
    </author>
    <id>http://localhost:8081/jspui/handle/123456789/17782</id>
    <updated>2025-07-06T11:56:26Z</updated>
    <published>2015-05-01T00:00:00Z</published>
    <summary type="text">Title: ASSESSMENT OF DROUGHT FOR MITIGATION
Authors: B M, Thajuddin Ubaid
Abstract: This study was carried out for the Arkavathy basin of the Cauvery River system, Karnataka, India. The main aim of the study was to identify the drought characteristics in the basin and to derive a drought susceptibility map using GIS and Remote Sensing technique. Annual and seasonal rainfall departures, annual and seasonal probability distribution from the corresponding mean and the Standardized Precipitation Index analysis have been applied for identification of drought characteristics and severity assessment of drought events. Annual and seasonal rainfall data for the period 1901 to 2014 have been analysed. From the results of annual rainfall departure it is revealed that the average drought return period in the basin is 4-5 years. In the year 1983 the maximum annual and seasonal rainfall deficits were -87.31% and -94.54% respectively. The probability distributions of annual and seasonal rainfall have been analysed. The maximum annual mean rainfall recorded at Ramanagara with a magnitude of 880 mm and the probability occurrence of the annual mean and seasonal mean rainfall were 53.50% and 50.10% respectively. The Standardized Precipitation Index analysis was carried out to identify the severity of the drought event in the basin. The most recent drought conditions prevailed at Doddaballapura and Anekal stations in the study basin were with annual rainfall deficiency of -45.92% and -43.66%, Standardized Precipitation Index values as -1.57 and -1.14 in the years 2012 and 2014 respectively. The spatial representations of topographic feature, land use pattern, soil type, runoff potential, surface water availability, drought return period and annual rainfall deficit layers were prepared in spatial domain using Geographical Information System (GIS) and integrated values of weights for various indicators have been computed in 250 m x 250 m grid. The factors weights and the different layers i.e. river reach, land use pattern, soil type, runoff potential, surface water availability, drought return period and annual rainfall deficit were integrated using the overlay technique of the ARC-GIS to obtain the final drought susceptibility map for the year 2012. Methodology adopted for this study provides satisfactory estimation of drought susceptibility scenarios of the study basin - using different indicators and factors. The map of susceptibility to drought may be helpful to the administrative departments for introducing the drought mitigation plans and decision making.</summary>
    <dc:date>2015-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>VIBRATION BASED CONDITION MONITORING OF HYDRO-GENERATING EQUIPMENTS</title>
    <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/17781" />
    <author>
      <name>Mohanta, Rati Kanta</name>
    </author>
    <id>http://localhost:8081/jspui/handle/123456789/17781</id>
    <updated>2025-07-06T11:54:08Z</updated>
    <published>2015-05-01T00:00:00Z</published>
    <summary type="text">Title: VIBRATION BASED CONDITION MONITORING OF HYDRO-GENERATING EQUIPMENTS
Authors: Mohanta, Rati Kanta
Abstract: Abnormal vibration in electrical machines could reduce their reliability and efficiency. Prolongation the machine in same condition leads to deterioration and failure. Vibration condition monitoring (VCM) enhances the performance of Hydro Generating Equipments (HGE) by minimizing the damage and breakdown chances such that equipments stay available for a longer time. Failure of the equipments due to vibration causes shut down or sometimes even disaster of hydropower station. Advanced VCM is to examine the perforniance of such equipments on line automatically and to know the status of complex systems in hydropower generation. Fault detection techniques and vibration signal processing are the other techniques which have more scope to study. The execution of VCM and diagnosing system in a hydroelectric plant includes theoretical and experimental exploitation. The hydro generating equipment vibrates with the influence of different factors i.e. electrical, mechanical and l-lydraulic. The causes for this vibration are very complicated and mostly unavoidable. Hence the analysis of vibration signal is very important for diagnosing the fault of the machine. Inspection of these causes and handling them in an earlier stage are necessary for safe and stabile operation. This thesis gives a brief explanation of vibration related faults. Experimental results observed on a synchronous generator under different abnormal operating conditions are also provided. Future prospectus of VCM is discussed.</summary>
    <dc:date>2015-05-01T00:00:00Z</dc:date>
  </entry>
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