Ministry of Education
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Dr PURUSHOTTAM GANGSAR

vidwan id: 150434
Male

Assistant Professor,
SGSITS INDORE

Orchid Icon 0000-0002-3916-9490 Researcher Icon AAW-7867-2020 Google Scholar Icon https://scholar.google.co.in/citations?hl=en&user=

Publications

Total Articles 18
Books 0
Proceedings 0

Publications

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Scopus

Citations 497
h-index 3

CrossRef

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Citations 419
h-index 1
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Professional Recognition

2018

Young Scientist award to attend international conference in university of Lisbon, Portugal

SERB/MHRD

Community & Membership

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Bio

Research Area CONDITION MONITORING, FAULT DIAGNOSIS, Vibration and rotor dynamics, Artificial Intelligence

Personal Details

  • Male
  • Assistant Professor , SGSITS INDORE
  • SGSITS Indore
Ph.D
Other Institute 2018
MTECH
Other Institute 2014
BE
Other Institute 2012
Assistant Professor Apr 2018 – Present
SGSITS INDORE

Related Profiles

Experts (0)

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Organisations (22+)

View All
Avinash

Mr Avinash Mishra

Assistant Professor

Ashish Singh

Mr Ashish Singh Bais

Assistant Professor

DEVENDRA SINGH

Prof DEVENDRA SINGH AJNAR

Associate Professor

karan

Mr karan rajput

Assistant Professor

HIMANSHI

Ms HIMANSHI KOLI

Assistant Professor

DEEPTI NEERAJ GOUTAM

DEEPTI NEERAJ GOUTAM gs0905135

Assistant Professor

Gangaram

Mr Gangaram Mourya

Assistant Professor

Harshit

Prof Harshit Choubey

Assistant Professor

Deepti

Prof Deepti Rai

Assistant Professor

Payal

Ms Payal Khandelwal

Assistant Professor

Co-Authors (2)

Rajkumar

Prof Rajkumar Porwal

Shri G S Institute of Technology & Science

Rajiv

Prof Rajiv Tiwari

Indian Institute of Technology Guwahati

Scholarly Work

Development of a flexible fault diagnosis technique for induction motor based on artificial intelligence

Funding Agency: NPIU/MHRD

Principal investigator

1,290,000

2019 - Ongoing

Ongoing
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Scholarly Publications

Multifault Diagnosis of Induction Motor at Intermediate Operating Conditions Using Wavelet Packet Transform and Support Vector Machine..

Open Access
article
Year: 2018.
Authors: Gangsar, P., & Tiwari, R. (2018).

Intelligent mechanical and electrical fault diagnosis in induction motor using wavelet packet and support vector machine

Open Access
conference paper
Year: 2017.
Authors: Gangsar, P., and Tiwari, R. (December 2017). “

. “Effect of frequency resolution on intelligent multiple fault diagnosis of induction motor based on support vector machine algorithm”.

Open Access
conference paper
Year: 2017.
Authors: Gangsar, P., and Tiwari, R. (November-December 2017)

Analysis of Time, Frequency and Wavelet Based Features of Vibration and Current Signals for Fault Diagnosis of Induction Motors Using SVM.

Open Access
conference paper
Year: 2017.
Authors: Gangsar, P., & Tiwari, R. (2017, December).

Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine algorithms.

Open Access
article
Year: 2017.
Authors: Gangsar, P., & Tiwari, R.

Induction motor electrical-fault identification based on vibration monitoring and one-verses-one multiclass SVM”.

Open Access
conference proceedings
Year: 2016.
Authors: Gangsar, P., and Tiwari, R. (September 2016). “

“Load independent fault classification of induction motor based on vibration and current signals using SVM algorithm”.

Open Access
conference paper
Year: 2016.
Authors: Gangsar, P., and Tiwari, R. (October 2016).

“Diagnosis of multiple faults in induction motors based on Gram-Charlier orthogonal expansion coefficients of vibration signals using support vector machine algorithms”.

Open Access
conference paper
Year: 2016.
Authors: Gangsar, P., and Tiwari, R. (January 2016).