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+)

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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

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

Artificial neural network based fault diagnostics for three phase induction motors under similar operating conditions

Open Access
Conference Paper
Authors: Abhisar Chouhan, Purushottam Gangsar,R K Porwal, Crishopter Mechefske

Diagnostics of mechanical and electrical faults in induction motors using wavelet-based features of vibration and current through support vector machine algorithms for various operating conditions.

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

Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

Open Access
Review

Performance Analysis of Support Vector Machine and Wavelet Packet Transform Based Fault Diagnostics of Induction Motor at Various Operating Conditions. IFToMM 2018, September 23rd to 27th, 2018,

Open Access
conference proceedings
Authors: Gangsar P., Tiwari R. (2019)

Artificial Neural Network Based Fault Diagnostics for Induction Motors in Different Machine Tool Applications Authors

Open Access
conference paper
Authors: Abhisar Chouhan, Purushottam Gangsar, Rajkumar Porwal,Manoj Chouksey

A Support Vector Machine based Fault Diagnostics of Induction Motors for Practical Situation of Multi-Sensor Limited Data Case.

Open Access
article
Authors: Gangsar, P., and Tiwari, R.

“On-line diagnostics of mechanical and electrical faults in induction motor using multiclass support vector machine algorithms based on frequency domain vibration and current signals”. ASME J. Risk Uncertainty Part B, 5(3), 031001 (Jun 10, 2019) (15 pages) Paper No:

Open Access
article
Authors: Gangsar, P., and Tiwari, R. (2019)

Effect of noise on support vector machine based fault diagnosis of im using vibration and current signatures

Open Access
Conference Paper