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Faculty details

Prof.Sachin Kumar Singh

Designation: Associate Professor

Department: Mechanical Engineering

Email: sachinks[at]iitism[dot]ac[dot]in

Contact Number: 9102991041

Office Number: +91-326-223-5184

Personal Page: Click Here

About Me: I am an Associate Professor at the Department of Mechanical Engineering, IIT(ISM) Dhanbad. My research interests encompass rotor dynamics, machinery condition monitoring, signal processing in mechanical systems, and the application of machine learning techniques for fault diagnosis. I teach Engineering Mechanics, Machine Design, Dynamics of Machinery, and Condition Monitoring of Machines.

Research Interest: Rotor Dynamics, Machinery Condition Monitoring, Signal Processing, Machine Learning

Curriculum
Vitae
Publications

Teaching

Engineering Graphics, Engineering Mechanics, Machine Design, Dynamics of Machinery, Control Systems, Rotor Dynamics, Optimization Theory, Condition Monitoring of Machines

Academics

EDUCATION

PhD (Mechanical Engineering)

Indian Institute of Technology, Guwahati, India

PhD in vibration-based condition monitoring (2005-2012) Thesis title: Identification of multiple cracks in a shaft system

M. Tech (Machine Design)

Indian Institute of Technology, Guwahati, India

M. Tech. in Machine Design (2003-2005)

M. Tech thesis: Noise source identification of workshop machinery

BE (Mechanical Engineering)

University Institute of Technology, Barkatullah University, Bhopal, India

B.E. in Mechanical Engineering (1999-2003)

Position

EXPERIENCE

Associate Professor, Department of Mechanical Engineering, IIT (ISM) Dhanbad (April 2022- present)

Assistant Professor, Department of Mechanical Engineering, IIT (ISM)  Dhanbad (February 2015 – April 2022)

Assistant Professor, Dept. of Mechanical Engineering, Tezpur University, Tezpur, Assam, India (July 2010 - February 2015)

Awards and Honors

Publications

Books Published

Book chapter:

  1. S. K. Singh, R. Tiwari and S. Talukdar, A multi-crack identification algorithm based on forced vibrations from a shaft system, IUTAM symposium on emerging trends in rotor dynamics IUTAM book series 2011; Volume 1011, 505-513, DOI: 10.1007/978-94- 007- 0020-8_42.

  1. Gupta R. B., Singh S. K. (2019) Detection of Crack and Unbalancing in a Rotor System Using Artificial Neural Network. In: Prasad A., Gupta S., Tyagi R. (eds) Advances in Engineering Design. Lecture Notes in Mechanical Engineering. Springer, Singapore

List Of Research Publications (only in Peer-reviewed Journals)

Journals:

  1. S. K. Singh and R. Tiwari, Identification of a multi-crack in a shaft system using transverse frequency response functions, Mechanism and Machine Theory 2010; 45 1813- 1827.
  2. S. K. Singh and R. Tiwari, detection and localisation of multiple cracks in a stepped shaft, Fatigue and Fracture of Engineering Materials and Structures 2012; 36 85-91.
  3. S. K. Singh and R. Tiwari, Detection and localisation of multiple cracks in a shaft system: an experimental investigation, Measurement, 2014; 53 182-193.
  4. D. K. Das, J. Sarkar, S. K. Singh, "Effect of sample size, temperature and strain velocity on mechanical properties of plumbene by tensile loading along longitudinal direction: A molecular dynamics study", Computational Materials Science, 2018; 151 196-203.
  5. K. Kumar, S. Shukla, S. K. Singh, "A combined approach for weak fault signature extraction of rolling element bearing using Hilbert envelop and zero frequency resonator", Journal of Sound and Vibration, 2018; 419, 436-451.
  6. P. Mishra, S. K. Singh, V. Ranjan, S. Singh, A. Vidyarthi, Performance Evaluation of Jaipur Knee Joint through Kinematics and Kinetics Gait Symmetry with Unilateral Transfemoral Indian Amputees, Journal of Medical Systems (2019) 43, https://doi.org/10.1007/s10916-019-1181-0
  7. A. Kumar, S. K. Singh, Milling tool wear prediction using spindle motor current signal, International Journal of Condition Monitoring, 2019, 9(2), pp. 35-41
  8. S. Shukla, S. K. Singh, D. Mitra, An Efficient Heart Sound Segmentation Approach using Kurtosis and Zero Frequency Filter Features, Biomedical Signal Processing and Control, 2019, 57, 101762, https://doi.org/10.1016/j.bspc.2019.101762
  9. S. Sachan, S. Shukla, S. K. Singh, Two level de-noising algorithm for early detection of bearing fault using wavelet transform and zero frequency filter, Tribology International, 2020, 143, https://doi.org/10.1016/j.triboint.2019.106088
  10. R. Nigam, S. K. Singh, Crack detection in a beam using wavelet transform and photographic measurements, Structures, 2020, 25, 436-447, https://doi.org/10.1016/j.istruc.2020.03.010
  11. P. Mishra, S. K. Singh, V. Ranjan, S. Singh, A. Pandey, H. Sharma, Measurement of spine parameters and possible scoliosis cases with surface topography Techniques: A case study with young Indian males, Measurement, 2020, 161, 107872, https://doi.org/10.1016/j.measurement.2020.107872
  12. K. Kumar, S. Shukla, S. K. Singh, Early detection of bearing faults using minimum entropy deconvolution adjusted and zero frequency filter, Journal of Vibration and Control, (February 2021) https://doi.org/10.1177/1077546320986368
  13. R. Kumar, S. K. Singh, Crack detection near the ends of a beam using wavelet transform and high resolution beam deflection measurement, European Journal of Mechanics - A/Solids 2021, 88, https://doi.org/10.1016/j.euromechsol.2021.104259
  14. R. Kumar, R. Nigam, S. K. Singh, Selection of suitable mother wavelet along with vanishing moment for the effective detection of crack in a beam, Mechanical Systems and Signal Processing, 2022, 163, 108136, https://doi.org/10.1016/j.ymssp.2021.108136
  15.  R. Nigam, S. K. Singh, Crack detection in a beam using curvatures and digital image measurements. Meccanica, 2022, 57(9), 2199-2211, https://doi.org/10.1007/s11012-022-01568-8
  16. R. Kumar, S. K. Singh, A variance-based approach for the detection and localization of cracks in a beam. Structures, 2022, 44, 1261-1277), https://doi.org/10.1016/j.istruc.2022.08.068
  17. Vikash Kumar, Sachin Kumar Singh, Volume Optimization of Two-Stage Helical Gear Train Using Differential Evolution Algorithm, Journal of Scientific & Industrial Research (2024), 83(2), Pages 130-138, 2024, DOI: https://doi.org/10.56042/jsir.v83i2.5029
  18. Nigam R, Kumar R, Singh SK. Numerical and experimental investigation on crack detection in a beam using maximal overlapping discrete wavelet transform. Structural Health Monitoring. 2024; 23(5):2942-2962. doi:10.1177/14759217231214939
  19. P Chauhan, S K Singh, A multi-frequency approach for the fault identification of bearings and gears based on frequency shifting and narrowband filtering. Nondestructive Testing and Evaluation, (2024) 1–34. https://doi.org/10.1080/10589759.2024.2433034

Papers in conference abstract volumes / presented

Conference:

  1. S. K. Singh and R. Tiwari, A novel normalization procedure of quadratic coefficients in a multi-crack identification algorithm for a shaft system, IFToMM International conference on rotor dynamics, Sept. 12-15, 2010, KIST, Seoul, South Korea.
  2. S. K. Singh and R. Tiwari, Multi-crack identification using forced responses from a rotor system, international conference on vibration engineering and technology of machinery, VETOMAC-VI, Dec. 13-15, 2010, IIT Delhi, New Delhi, India.
  3. S. K. Singh and A. D. Sahasrabudhe, Noise source identification of workshop machinery, All india seminar on active and passive noise control, November 11-13, 2009, Guwahati, India.
  4. S. K. Kakoty, A. Hussain, S. K. Singh, Combating sound pollution at drilling rig of OIL India Limited, All india seminar on active and passive noise control, November 11-13, 2009, Guwahati, India.
  5. S. Sachan, A. K. Paswan and S. K. Singh, " Detection of faults in a Rotor System integrated with Active Magnetic Bearing", 5th National Symposium on Rotor Dynamics (NSRD 2017), Department of Mechanical Engineering and Department of Electrical Engineering IIT Patna, India, (12-13 Dec'17). (Paper ID-13)

  1. K. Kumar, S. Shukla, S. K. Singh, A Hilbert envelope and comb filter based method for early detection of bearing fault, 5th National Symposium on Rotor Dynamics (NSRD 2017), Department of Mechanical Engineering and Department of Electrical Engineering IIT Patna, India, (12-13 Dec'17).

  1. Ramnivas Kumar, Sachin K Singh “Crack Detection in a Shaft Using wavelet Transform”, 3rd National conference on mining equipment new challenges and Applications (MENTCA- 2018), department of Mining Machinery Engineering. IIT (ISM) Dhanbad, India, (9-10       Feb’18). (Paper ID- men_2018/27).

  1. Ravi Nigam, Sachin kumar Singh, “Detection of crack in shaft by using Finite Difference Method”, 3rd National conference on mining equipment new challenges and Applications (MENTCA-2018), department of Mining Machinery Engineering. IIT (ISM) Dhanbad, India, (9-10 Feb’18).

  1. Ravi Nigam, and S. K. Singh, Crack detection in a shaft using finite difference technique, IOP Conference Series: Materials Science and Engineering, Volume 624, 1st International Conference on Mechanical Power Transmission 11–13 July 2019, Chennai, India, DOI: 10.1088/1757-899x/624/1/012012

Projects & Activities

Sponsored Research Projects (External Funded)

  1. SPONSORED PROJECTS

Sl No

Project Title

Amount in Rs. (Lakh)

Role

Funding Agency

Duration

Status

1

Early detection of  bearing fault and fatigue crack in a

rotor system

31.3

PI

DST SERB

36 months

(2016-

2019)

Completed

2

Detection of faults in a rotor

system

2.0

PI

TEQIP III

24 months

(2017-

2019)

Completed

 3

Development of a wind turbine condition monitoring system using signal processing and machine learning techniques

40.30

PI

DST

2024-2027

Ongoing

Consultancy Project

Short-Term Courses Organised

Sl No.

Name of Short Term Course

Funding Agency

Consultancy Number

Amount Rs. (Lakhs)

Duration

CI/Co-CI

1.

Condition

  monitoring

and failure

analysis of

Machines

Participants

from

Academic

and

Industry

CONS/3768/17

-18

1.38

March 21-

24, 2018

CI with

Dr.

Shibayan

Sarkar

Singh (as

Co-CI)

Guidance

Details of Ph.D. students

Sl. No

Name of students

Reg. no.

Thesis title

Current status

1.

Pawan Mishra

2013/DR/1053

Kinematic & Kinetic Evaluation of Gait Parameters for Indian Unilateral Transfemoral Amputees with Different Knee Joints

Completed

2.

Subodh Kumar

2014DR0065

Free Vibration Analysis of Functionally Graded Rectangular Plates Using the Dynamic Stiffness  Method

Completed

3.

Keshav Kumar

2015DR0236

Early detection of bearing faults in a rotor system

Completed

4.

Ravi Nigam

16DR000281

Detection of crack in a beam using vibration measurements

Completed

5.

Shruti Sachan

17dr000292

Early detection of bearing fault using condition monitoring techniques

Thesis examined

6.

Ramnivas Kumar

18DR0111

Crack Identification in a Rotor System

Completed

7.

Pankaj Chauhan

20DR0091

Fault detection of Rolling Element Bearing using Wavelet Analysis and Machine Learning

ongoing

8.

Rambilas Das

24DR0143

Detection of bearing faults

ongoing

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