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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>International Conference on Emerging Technologies: AI, IoT, and CPS for Science &amp; Technology Applications, September</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Review on Rotor Inter Turn Fault Detection in Hydro Generator</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Atul Chadda</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>PiushVerma</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>National Institute of Technical Teachers Training &amp; Research</institution>
          ,
          <addr-line>Chandigarh, 160019</addr-line>
          ,
          <country country="IN">India</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2021</year>
      </pub-date>
      <volume>0</volume>
      <fpage>6</fpage>
      <lpage>07</lpage>
      <abstract>
        <p>Hydro generators are considered as an essential component in power generation system as it transforms turbine's mechanical energy into electrical power. The main focus of this paper is based on inter- turn fault in salient pole rotor that mostly occurs in standard synchronous generators. Most of the synchronous generators come across with winding short circuit failures. It is mandatory to detect fault at an early stage and take appropriate diagnosis methods to overcome it. From the literature survey conducted, it is observed that there are number of techniques proposed by various researchers to detect the faults in hydro generators. These techniques were able to assess fault position, detect fault at an early stage, and to cope up with rotor intern-turn. Furthermore, less research has been done by researchers on various dependences factors of fault detection and in future there is a great scope of development of various decision modeling approaches for online fault detection.</p>
      </abstract>
      <kwd-group>
        <kwd>Key words1</kwd>
        <kwd>Inter turn fault</kwd>
        <kwd>Power systems</kwd>
        <kwd>Hydro generators</kwd>
        <kwd>Fuzzy Inference Systems (FIS)</kwd>
        <kwd>Intelligent systems etc</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. INTRODUCTION</title>
      <p>A loss in speed produces generator physical size and cost for a definite value of power [3].
Furthermore, the hydro generators are classified into four categories as shown in figure1.1.
Vertical Shaft</p>
      <p>Generators</p>
      <p>PIT Type
Generators</p>
      <p>Motor
Generators</p>
      <p>Variable Speed</p>
      <p>MotorGenerators
Vertical Shaft Generators: The turbines with Vertical shaft especially in hydro are connected to
vertical shaft generator with outputs ranging up to 840 MVA. Vertical generators for Pelton,
Kaplan, and Francis turbines have been used in the past for a wide variety of outcomes and speeds.
PIT type Generators: PIT generators have been used in low-head implementations and that is the
reason it is connected to the horizontal turbine shaft by use of step-up gear. PIT implementations
are a cost-effective alternative for hydropower stations with low head and lower ratings (typically
up to 17 MVA). PIT generators are known for their solid design and ability to withstand the high
runaway speeds needed by hydropower plants.</p>
      <p>Motor Generators: To operate pump turbines and produce electricity, pumped storage plants utilize
motor generators. With novel adaptive speed and one or two rotation directions, motorized
generators for the implementation of pumped storage. It could exceed up to 360 Million
VoltAmps.</p>
      <p>Variable Speed Motor-Generators: To maintain synchrony with the grid frequency, the turbine and
generator’s rotational speeds should be constant in traditional plants. The grid's capacity to provide
ancillary services is constrained under these conditions. Furthermore, at a constant speed, the
pumped-storage plants prevent the pumping power from being adjusted, therefore restricting the
most efficient usage surplus electricity [4].</p>
      <p>Any enterprise or process's overall economy is highly dependent on fault detection.
Vibrationsignal-, knowledge-, and Model-based methods are currently three types of approaches that are
based on HGU's fault diagnosis [5]. Researchers have studied a wide variety of system defects,
such as uneven stator plus rotor, eccentricity in addition to bearing faults with split rotor bars.
Generator breakdown can cause significant economic losses for the HGU. Fault identification,
study and control are therefore very critical activities to be considered in order to prevent
significant economic losses. This will reduce unexpected faults, downtime repairs and operating
costs. It could also be avoided to operate electrical equipment in dangerous conditions.
1.1.</p>
    </sec>
    <sec id="sec-2">
      <title>Inter-Turn Short Circuit Fault</title>
      <p>Rotor inter-turn short circuit fault is a type of synchronous generator failure. Synchronous
generators have complicated structure, high voltage and high workload characteristics. Moreover,
the generator rotor is under rotary vibration for a long period and can lead to failure. The rotor
windings failure of the inter-turn short circuit is more prevalent [6]. Most synchronous generators
occurred with an excitement winding short circuit failure or were defective [7, 8]. The rotor
winding short-circuit result into increased excitation and intensifying rotor vibration in the broad
synchronous generator [9, 10]. The fault features of inter-turn winding are too small to be
effectively established in the initial stage. If a short circuit fault is not resolved, the rotor winding
inter-circuit may result in a major mishap and pose a considerable risk to the safe operation of the
generator and the power system. The safe, consistent operation of the synchronous generator is
critical to ensuring that the power supply of the electrical system is safe, and the synchronous
generator rotor winding inter-turn failure in the early stage needs to be established.</p>
    </sec>
    <sec id="sec-3">
      <title>2. LITERATURE</title>
      <p>As discussed in the previous section that the rotorinter turn short circuit may result for major
accident and many other impacts, therefore it is mandatory to early detection of such faults and
takes appropriate precautions to overcome it. There are number of techniques those are proposed
by researcher for detection as well as for diagnosis purpose. This section presentsa literature survey
of various short circuits related fault detection and prevention approach. Following this review, a
tabular comparison for these techniques is also mentioned. Finally, a conclusion and future scope
of research in given.Yong-gang Li, et al. [11], presented the reverse calculation approach for the
no-load curve and used just electrical parameters like active, reactive, voltage, and current. A. Ur
Rehman et al., [12], proposes a method for detection of inter-turn short circuit faults in rotor
winding relied on fundamental electrical characteristics. C. Wei, et al. [13], proposed a failure
diagnostics technique to deal mostly with rotor windings which were utilized for online fault
control, inter-turn short circuit fault those are found in synchronous condenser. W. Shuting and T.
Haixia, [14],the parallel linked branches of the stator, which circulate current features, due to the
inter-turn failure of the rotor winding were examined. Also, a system is designed for fault
diagnoses using virtual instruments. H. Sabir, et al. [15], developed a combined technique based on
CSA (Current Signature Analysis) and TSA (Time Synchronous Averaging) to boost the wind
turbine control system and the DFIG down time S. E. Zouzou, et al. [16], proposed to employ the
PRI (Partial Relative Indexes) as fault indicators to enhance the fault detection process.L.
Yonggang et al. [17], evaluated the variations in electromagnetic characteristics, electrical parameters as
well as the defect specifications which maximize the field current and reduce reactive power after
failure to propose a new online methodology for analyzing the rotor inter-turn failure of the
brushless excitation synchronous generator. F. Sun, et al. [18], an RSO approach was developed to
assess the fault position of the inter-turn short circuit by examining the signal propagation time,
winding symmetry and fault function database.T. D. Razafimahefaet al. [19], designed a
turnaround short circuit in the induction machine's stator and rotor windings as well as the
identification of a defect in startup.S. S. S. R. Sarathbabu Duvvuri, et al. [20], developed an
induction motor models with reference framework theory. The diagnostic significance for the
short-speed rotor turn-to - turn faults of these SRIM models was studied.</p>
      <sec id="sec-3-1">
        <title>Proposed a framework named as FEM also termed as Finite</title>
      </sec>
      <sec id="sec-3-2">
        <title>Element Method, to verifying the functioning of the generators.</title>
        <p>Proposed a failure diagnostics technique to deal mostly with
rotor windings which were utilized for online fault control,
interturn short circuit fault those are found in synchronous condenser.</p>
      </sec>
      <sec id="sec-3-3">
        <title>W. Shuting and T. Haixia [14]</title>
      </sec>
      <sec id="sec-3-4">
        <title>H. Sabir et al. [15]</title>
      </sec>
      <sec id="sec-3-5">
        <title>S. E. Zouzou et al. [16]</title>
      </sec>
      <sec id="sec-3-6">
        <title>L. Yong-gang et al. [17] F. Sun et al. [18]</title>
        <p>T. D.</p>
      </sec>
      <sec id="sec-3-7">
        <title>Razafimahefa</title>
        <p>et al. [19]
S. S. R.</p>
        <p>SarathbabuDuv
vuri et al. [20]
2007
2018
2010
2016
2019
2015
2018</p>
      </sec>
      <sec id="sec-3-8">
        <title>Examined the parallel linked branches of the stator and by using virtual instruments the authors designed a system for fault diagnoses.</title>
      </sec>
      <sec id="sec-3-9">
        <title>Developed a strategy to boost the wind turbine control system and the DFIG downtime.</title>
      </sec>
      <sec id="sec-3-10">
        <title>Proposed an enhanced the fault detection process, the authors in this paper employed the PRI (Partial Relative Indexes) as new fault indicators.</title>
      </sec>
      <sec id="sec-3-11">
        <title>Proposed a new online methodology for analyzing the rotor inter</title>
        <p>turn failure in the brushless excitation synchronous generators.</p>
      </sec>
      <sec id="sec-3-12">
        <title>Proposed a an RSO approach to assess the fault positioning of the</title>
        <p>inter-turn short circuit by examining time of the signal
propagation , winding symmetry and fault function database</p>
      </sec>
      <sec id="sec-3-13">
        <title>Proposednew state-space induction motor models with reference framework theory.</title>
      </sec>
      <sec id="sec-3-14">
        <title>This article proposed a model to handle the inter turn short circuit fault particularly for rotor windings. It has the feature of online monitoring also.</title>
        <p>Sidi Mohammed Kaddour and Mohamed Lehsaini, “Electricity Consumption Data Analysis
Using Various Outlier Detection Methods, International Journal of Software Science and
Computational Intelligence (IJSSCI), vol. 13(3), 2021
O. A. Aqel, M., Issa, A., Qasem, E., &amp; El-Khatib, W, “Hydroelectric Generation from Water
Pipelines of Buildings”, 2018 International Conference on Promising Electronic
Technologies (ICPET), pp. 63-68, 2018.</p>
        <p>Hatata, A. Y., El-Saadawi, M. M., &amp;Saad, S., “A feasibility study of small hydro power for
selected locations in Egypt”, Energy Strategy Reviews, pp. 300–313, 2019.</p>
        <p>Emiliano Corà et al., “Hydropower Technologies”, Hydropower Europe, pp. 1-73, 2019.</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>3. CONCLUSION</title>
      <p>This article provides an overview to hydro power generators and detail description of the inter turn
short circuit fault. From the literature survey, it is observed that hydro generator rotor fault
detection techniques are inaccessible or complicated. For detection as well as for diagnosis
purpose, a large number of techniques were proposed by researchers. In addition to this, various
methods were proposed by researchers to deal with rotor inter-turn fault short circuit. After
analyzing various papers based on intern-turn fault short circuit we find that there is a scope of
improvements in these methods to detect fault at an early stage. Furthermore, various decision
modeling approaches could be made using dependences factors of online fault detection.</p>
    </sec>
    <sec id="sec-5">
      <title>4. ACKNOWELGEMENT</title>
    </sec>
    <sec id="sec-6">
      <title>5. REFERENCE</title>
      <p>The authors are thankful to NITTTR Chandigarh and NHPC Limited for providing necessary
support and directions for this work.
[5] G. Liao, W. Gao, G. Yang and M. Guo, "Hydroelectric Generating Unit Fault Diagnosis
Using 1-D Convolutional Neural Network and Gated Recurrent Unit in Small Hydro," in
IEEE Sensors Journal, vol. 19, pp. 9352-9363, 15 Oct.15, 2019.
[6] Luo Wang, Yonggang Li and Junqing Li, “Diagnosis of Inter-Turn Short Circuit of
Synchronous Generator Rotor Winding Based on Volterra Kernel Identification”, Energies,
pp. 1-15, 2018.
[7] Zhang, G.; Wu, J.; Hao, L. Analysis on the amplitude and frequency characteristics of the
rotor unbalanced magnetic pull of a multi-pole synchronous generator with inter-turn short
circuit of field windings. Energies, pp. 1-20, 2018.
[8] Wu, Y.; Li, Y, “Diagnosis of rotor winding interturn short-circuit in turbine generators using
virtual power”, IEEE Trans. Energy Convers, pp.183–188, 2015.
[9] Hao, L.; Wu, J.; Zhou, Y, “Theoretical analysis and calculation model of the electromagnetic
torque of nonsalient-pole synchronous machines with interturn short circuit in field
windings”, IEEE Trans. Energy Convers, 110–121, 2015.
[10] Zhang, G.; Wu, J.; Hao, L, “Fast calculation model and theoretical analysis of rotor
unbalanced magnetic pull for inter-turn short circuit of field windings of non-salient pole
generators”, Energies, 1-19, 2017.
[11] Yong-gang Li, Luo Wang, Ming-han Ma, “Diagnosis of Rotor Winding Inter-Turn
ShortCircuit of Hydro-Generator Based on No-load Curve Reverse Calculation”, IEEJ
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[16] S. E. Zouzou, M. Sahraoui, A. Ghoggal and S. Guedidi, "Detection of inter-turn short-circuit
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[17] L. Yong-gang, M. Ming-han, W. Yu-cai and B. Guo-bang, "The new criterion of brushless
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[20] S. S. S. R. SarathbabuDuvvuri, "Rotor Inter-turn Short-circuit Fault Diagnostics Relevant
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