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Books on the topic 'Electric motor fault diagnosis'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Karmakar, Subrata, Surajit Chattopadhyay, Madhuchhanda Mitra, and Samarjit Sengupta. Induction Motor Fault Diagnosis. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0624-1.

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2

Loveday, George. Electronic fault diagnosis. 2nd ed. Harlow: Longman Scientific & Technical, 1986.

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3

Fault diagnosis of digital circuits. Chichester: Wiley, 1990.

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4

Institution of Mechanical Engineers (Great Britain). Automobile Division., Institution of Mechanical Engineers (Great Britain). Railway Division., Institution of Mechanical Engineers (Great Britain). Power Industries Division., and International Federation of Automobile Engineers' and Technicians' Associations., eds. International Conference on Vehicle Condition Monitoring and Fault Diagnosis. London: Published for the Institution of Mechanical Engineers by Mechanical Engineering Publications, 1985.

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5

Electrical machines diagnosis. London: ISTE, 2011.

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6

Vehicle electronic systems and fault diagnosis: A practical guide for vehicle technicians. Warrendale, PA: STS Press, 1998.

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7

Bonnick, Allan W. M. Vehicle electronic systems and fault diagnosis: A practical guide for vehicle technicians. London: Arnold, 1998.

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8

Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection. Singapore: World Scientific, 1997.

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9

Ding, Steven X. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools. 2nd ed. London: Springer London, 2013.

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10

W, Sheppard John. Research perspectives and case studies in system test and diagnosis. Boston: Kluwer Aacdemic Publishers, 1998.

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11

Chattopadhyay, Surajit, Madhuchhanda Mitra, Samarjit Sengupta, and Subrata Karmakar. Induction Motor Fault Diagnosis: Approach through Current Signature Analysis. Springer, 2018.

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12

Chattopadhyay, Surajit, Madhuchhanda Mitra, Samarjit Sengupta, and Subrata Karmakar. Induction Motor Fault Diagnosis: Approach through Current Signature Analysis. Springer, 2016.

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13

Condition Monitoring and Faults Diagnosis of Induction Motors. Taylor & Francis Group, 2018.

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14

Hooper, John, and Malcolm Doughton. EIS: Fault Finding and Diagnosis. Cengage Learning, 2012.

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15

Electronic Fault Diagnosis. 3rd ed. Longman, 1988.

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16

Electric Machines: Fault Diagnosis and Condition Monitoring. CRC, 2008.

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17

Selected papers on analog fault diagnosis. New York: IEEE Press, 1987.

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18

Toliyat, Hamid A., Subhasis Nandi, Seungdeog Choi, and Homayoun Meshgin-Kelk. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis. Taylor & Francis Group, 2017.

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19

Zagirnyak, Mykhaylo V., Zhanna Iv Romashykhina, and Andrii P. Kalinov. Diagnostics of Induction Motor Broken Rotor Bars on the Basis of the Electromotive Force Analysis. Nova Science Publishers, Incorporated, 2017.

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20

Trigeassou, Jean-Claude. Electrical Machines Diagnosis. Wiley & Sons, Incorporated, John, 2013.

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21

Trigeassou, Jean-Claude. Electrical Machines Diagnosis. Wiley & Sons, Incorporated, John, 2013.

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22

Trigeassou, Jean-Claude. Electrical Machines Diagnosis. Wiley & Sons, Incorporated, John, 2013.

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23

Ding, Steven X. Model-Based Fault Diagnosis Techniques. Springer, 2008.

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24

Benbouzid, Mohamed, ed. Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbpo153e.

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25

Ding, Steven X. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools. Springer, 2013.

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26

Narayana, Shalini, Felipe Salinas, Frederick A. Boop, James W. Wheless, and Andrew C. Papanicolaou. Transcranial Magnetic Stimulation. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.11.

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Abstract:

Transcranial magnetic stimulation (TMS) is used to study cortical function by applying localized magnetic fields in a noninvasive manner. This chapter reviews the basic principles of TMS, including the stimulator unit, coils, and the interaction of TMS-induced electric field with the cortex. The advantages of TMS over invasive brain mapping techniques are highlighted. Improvements in the spatial accuracy of TMS are described in the context of image-guided TMS. Types of responses induced by motor cortex stimulation and their utility in mapping normal and diseased motor cortex are discussed. Language mapping with TMS takes advantage of the TMS-induced transient disruption of function, also termed “virtual lesion.” The authors provide examples of successful application of TMS in presurgical mapping of the motor and language areas in the brain. Emerging applications of TMS in the diagnosis of neuropsychiatric disorders and safety of TMS are also discussed.

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