Jyoti Sinha, BSc, MTech, PhD, CEng, FIMechE

Search results

• 2024

  A Comprehensive 3-Steps Methodology for Vibration-based Fault Detection, Diagnosis and Localization in Rotating Machines

  Almutairi, K. & Sinha, J., 29 Mar 2024, In: Journal of Dynamics, Monitoring and Diagnostics. 3, 1, p. 49-58 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Defects 100%
  • Fault Detection and Diagnosis 100%
  • Critical Speed 100%
  • Rotors 66%
  • Operating Speed 33%

• A Framework for Analysis of Stakeholder Dynamics and Value Creation in Industrial Maintenance Projects: The Stakeholder iPOT

  Masarira, M., Papadopoulou, K., Rahbarimanesh, A., Sinha, J. & Kumar, U., 1 Sept 2024, In: International Journal of System Assurance Engineering and Management . 15, 9, p. 4229-4251 23 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Conceptual Framework 100%
  • Value Creation 100%

• Comparative analysis of failure consequences using qualitative and quantitative methodologies

  Attia Ahmed, M. & Sinha, J., 1 Jul 2024, In: International Journal of System Assurance Engineering and Management . 15, 7, p. 3451-3465 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Comparative Analysis 100%
  • Equipment Item 100%
  • Risk Model 100%
  • Inspection Program 100%
  • Case Study 100%
  11 Downloads (Pure)

• Damage Identification in Steel Girder Based on Vibration Responses of Different Sinusoidal Excitations and Wavelet Packet Permutation Entropy

  Zhou, Y., Zhuang, Y. & Sinha, J., 4 Sept 2024, (E-pub ahead of print) In: Applied Sciences. 14, 17, 7871.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Steel Box 100%
  • Box Girder 100%

• Early Prediction of Remaining Useful Life for Rolling Bearings Based on Envelope Spectral Indicator and Bayesian Filter: Special Issue -Industrial AI: Applications in Fault Detection, Diagnosis, and Prognosis

  Wen, H., Zhang, L. & Sinha, J., 3 Jan 2024, (E-pub ahead of print) In: Applied Sciences. 14, 1, 436.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Fault Detection and Diagnosis 100%
  • Rolling Bearings 100%
  • Artificial Intelligence 100%
  • Extended Kalman Filter 100%
  • Defects 50%

• Fault Detection of Rotating Machines Using poly-Coherent Composite Spectrum of Measured Vibration Responses with Machine Learning

  Almutairi, K., Sinha, J. & Wen, H., 19 Aug 2024, (E-pub ahead of print) In: Machines. 12, 8, 573.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Critical Speed 100%
  • Dynamic Condition 66%
  • Applicability 33%
  • Rotors 33%
  • Frequency Domain 33%

• From Envelope Spectra to Bearing Remaining Useful Life: An Intelligent Vibration-Based Prediction Model with Quantified Uncertainty

  Wen, H., Zhang, L. & Sinha, J., 13 Nov 2024, In: Sensors. 24, 22, 7257.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Two-step vibration-based machine learning model for the fault detection and diagnosis in rotating machine and its blind application

  Espinoza Sepulveda, N. & Sinha, J., 14 May 2024, (E-pub ahead of print) In: Structural Health Monitoring.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Machine Learning 100%
  • Industrial Application 100%
  • Fault Diagnosis 100%
  • Fault Detection 100%
  • Industrial Applications 100%
• 2023

  Experimental Vibration Data in Fault Diagnosis: A Machine Learning Approach to Robust Classification of Rotor and Bearing Defects in Rotating Machines: Special Issue 10th Anniversary of Machines—Feature Papers in Fault Diagnosis and Prognosis

  Almutairi, K. & Sinha, J., 5 Oct 2023, In: Machines. 11, 10, 18 p., 943.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Defects 100%
  • Rotors 100%
  • Learning Approach 100%
  • Fault Diagnosis 100%
  • Critical Speed 50%

• Reliability of Quantitative risk analysis through an industrial case study

  Attia, M. & Sinha, J. K., 7 Mar 2023, In: Journal of Quality in Maintenance Engineering. 29, 1, p. 71-93 23 p.

  Research output: Contribution to journal › Article › peer-review

  • Risk Model 100%
  • Ignition 40%
  • Fits and Tolerances 20%
  • Petroleum Industry 20%
  • End-Users 20%
• 2022

  Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data

  Wen, H., Zhang, L. & Sinha, J., 15 Aug 2022, In: Machines. 10, 8, p. 694

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Reliability of quantitative risk models: a case study from offshore gas production platform

  Attia Ahmed, M. & Sinha, J., 30 Jun 2022, In: Maintenance, reliability and condition monitoring.. 2, 1, p. 1-16 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Inspection Plan 100%
  • Consequence Modeling 100%
• 2021

  An integrated O&M and asset management model for solar power plants

  Sriramakavacham, K. & Sinha, J., Apr 2021, In: Maintenance & Asset Management . 36, 2, p. 24-28 5 p.

  Research output: Contribution to journal › Article

• Blind Application of Developed Smart Vibration-Based Machine Learning (SVML) Model for Machine Faults Diagnosis to Different Machine Conditions

  Espinoza Sepulveda, N. & Sinha, J., 1 Jun 2021, In: Journal of Vibrational Engineering and Technologies. 9, 4, p. 587-596 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Fault Diagnosis 100%
  • Learning System 100%
  • Condition Monitoring 50%
  • Rotors 25%
  • Rotating Speed 25%

• Hybrid adaptive model to optimise components replacement strategy: A case study of railway brake blocks failure analysis

  Appoh, F., Yunusa-kaltungo, A. & Kumar Sinha, J., 13 Jun 2021, In: Engineering Failure Analysis. p. 105539

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Brakes 100%
  • Composite Brake Block 25%
  115 Downloads (Pure)

• Improved quantitative risk model for integrity management of liquefied petroleum gas storage tanks: Mathematical basis, and case study

  Attia Ahmed, M. & Sinha, J., 1 Sept 2021, In: Process Safety Progress. 40, 3, p. 63-78 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Risk Model 100%
  • Gas Storage 100%
  • Integrity Management 100%
  • Liquefied Petroleum Gas 100%
  • Storage Tank 100%
  56 Downloads (Pure)

• Mathematical Validation of Experimentally Optimised Parameters Used in a Vibration-Based Machine-Learning Model for Fault Diagnosis in Rotating Machines

  Espinoza Sepulveda, N. & Sinha, J., 7 Aug 2021, In: Machines. 9, 8, 15 p., 155.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Fault Diagnosis 100%
  • Machine Learning 100%
  • Learning System 100%
  • Finite Element Modeling 100%
  • Mathematical Model 66%
  91 Downloads (Pure)

• PM4 SMP model proposed for system reliability criticality assessment and maintainability improvement

  Akaeje, O., Billington, M. & Sinha, J., 30 Jun 2021, In: Maintenance, reliability and condition monitoring.. 1, 1, p. 9-24 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • System Reliability 100%
  • Maintenance Procedure 100%
  • Maintainability 100%
  • Generic Model 20%
  • Systematic Approach 20%
  111 Downloads (Pure)

• Practical Demonstration of a Hybrid Model for Optimising the Reliability, Risk, and Maintenance of Rolling Stock Subsystem

  Appoh, F., Yunusa-Kaltungo, A., Sinha, J. K. & Kidd, M., 11 May 2021, In: Urban Rail Transit. 7, p. 139-157 19 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Hybrid Model 100%
  • Rolling Stock 100%
  • Railway 50%
  • Pneumatics 50%
  • Infrastructure 25%

• Robust vibration-based faults diagnosis machine learning model for rotating machines to enhance plant reliability

  Espinoza Sepulveda, N. & Sinha, J., 30 Jun 2021, In: Maintenance, reliability and condition monitoring.. 1, 1, p. 1-8 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Fault Diagnosis 100%
  • Learning System 100%
  • Outages 33%
  • Step Approach 33%
  • Condition Monitoring 33%
  105 Downloads (Pure)

• Theoretical validation of earlier developed experimental rotor faults diagnosis model

  Espinoza-Sepulveda, N. F. & Sinha, J. K., 2021, In: International Journal of Hydromechatronics. 4, 3, p. 295-308 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Rotors 100%
  • Fault Diagnosis 100%
  • Learning System 100%
  • Finite Element Modeling 100%
  • Time Domain 20%
• 2020

  Hybrid Dynamic Probability-based Modeling Technique for Rolling Stock Failure Analysis

  Appoh, F., Yunusa-Kaltungo, A. & Sinha, J., 2 Oct 2020, In: IEEE Access. 8, p. 182376-182390 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Rolling Stock 100%
  • Failure Analysis 100%
  • Discretization 66%
  • Petri Net 66%
  • Hybrid Model 16%
  119 Downloads (Pure)

• Mechanical characterization of millimetric agarose spheres using a resonant technique

  Yescas, J., Mandal, P., Sinha, J., Snook, R., Hawkes, J., Moreno Garibaldi, P. & Carrera-Espinoza, R., 1 Jan 2020, In: Archives of Mechanics. 72, 3, p. 217-233 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Mechanical Testing 100%
  • Mode of Vibration 100%
  • Young's Modulus 50%
  • Actuator 50%
  • Piezoelectricity 50%
  65 Downloads (Pure)

• Parameters Optimisation in the Vibration-based Machine Learning Model for Accurate and Reliable Faults Diagnosis in Rotating Machines

  Espinoza Sepulveda, N. & Sinha, J., 23 Oct 2020, In: Machines.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Fault Diagnosis 100%
  • Artificial Intelligence 100%
  • Learning System 100%
  • Machine Learning Method 50%
  138 Downloads (Pure)

• Vibration-based Health Indicators for Bearing Inner Race Defect Detection

  Sinha, J., Okogie, S., Ojetunde, A. & Elbhbah, K., 2020, In: ISME Journal of Mechanics and Design. 4, 2, p. 69-84 15 p.

  Research output: Contribution to journal › Article › peer-review
• 2019

  A computational fluid dynamics (CFD) analysis of fluid excitations on the spindle in a high-pressure valve

  Duan, Y., Revell, A., Sinha, J. & Hahn, W., 1 Aug 2019, In: International Journal of Pressure Vessels and Piping. 175, p. 103922

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Computational Fluid Dynamics 100%
  • Power Outage 50%
  • Induced Vibration 50%
  • Layer Interaction 50%
  • Field Data 50%
  433 Downloads (Pure)

• Estimating rotor unbalance from a single run-up and using reduced sensors

  Ibn Shamsah, S. M., Sinha, J. K. & Mandal, P., 1 Mar 2019, In: Measurement. 136, p. 11-24 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Rotors 100%
  • Computational Effort 50%
  • Dynamical Behavior 50%
  • Ball Bearing 50%
  • Machine Downtime 50%
  101 Downloads (Pure)
• 2018

  Finite Element Modelling and In Situ Modal Testing of an Offshore Wind Turbine

  Asnaashari, E., Morris, A., Andrew, I., Hahn, W. & Sinha, J. K., 1 Aug 2018, In: Journal of Vibration Engineering & Technologies. 6, 2, p. 101-106

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Offshore Wind Turbines 100%
  • Finite Element Modeling 100%
  • Wind Turbine 100%
  • Natural Frequency 100%
  • Dynamic Loads 50%

• Quantified approach to pipeline health and integrity management

  Afangide, E., Sinha, J. K. & Katnam, K. B., 1 Jul 2018, In: Journal of Loss Prevention in the Process Industries. 54, p. 28-36 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Integrity Management 100%
  • Condition Assessment 33%
  • Simplifies 33%
  • Guidance Document 33%
  • Health Monitoring 33%
  116 Downloads (Pure)
• 2017

  Effective Vibration-based Condition Monitoring (eVCM) of Rotating Machines

  Yunusa-Kaltungo, A. & Sinha, J., 7 Mar 2017, In: Journal of Quality in Maintenance Engineering.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Condition Monitoring 100%
  • Frequency Domain 21%
  • Fault Diagnosis 21%
  • Acquired Data 14%
  • Rotating Machinery 7%
  334 Downloads (Pure)
• 2016

  Avoiding Unplanned Shutdown by Simple Vibration-based Condition Monitoring

  Asnaashari, E., Elbhbah, K., Hahn, W. & Sinha, J., 15 Jul 2016, In: Maintenance & Asset Management . 16, 4, p. 36-37 2 p.

  Research output: Contribution to journal › Article

• Comparison of experimental observations in rotating machines with simple mathematical simulations

  Nembhard, A. & Sinha, J., Jul 2016, In: Mechanical Systems and Signal Processing. 89, p. 120-136

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Rotors 100%
  • Experimental Observation 100%
  • Fault Diagnosis 100%
  • Experimental Study 100%
  592 Downloads (Pure)

• In-situ Measured Vibration Behaviour of a Steam Turbine

  Hahn, W. & Sinha, J., Feb 2016, In: Journal of Vibration Engineering & Technologies. 4, 1

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Plant maintenance: An approach to evaluating performance

  Pilar, C., Sinha, J. & Nembhard, A., Jun 2016, In: Maintenance Management. p. 20-23

  Research output: Contribution to journal › Article

  Open Access

• Power monitoring: the extra mile

  Bonizzato, S., Yunusa-Kaltungo, A. & Sinha, J., 4 Oct 2016, In: Maintenance & Asset Management . 31, 5, p. 34-36 3 p.

  Research output: Contribution to journal › Article › peer-review

  • Rotors 100%
  • Electric Drives 100%
  • Experimental Observation 100%
  • Drive 100%

• Rotor Unbalance Estimation with Reduced Number of Sensors

  Ibn Shamsah, S. & Sinha, J., 25 Oct 2016, In: Machines. 4 , 4, p. 19

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Sensitivity analysis of higher order coherent spectra in machine faults diagnosis

  Yunusa-Kaltungo, A. & Sinha, J., 2 Sept 2016, In: Structural Health Monitoring. 15, 5, p. 555-567 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Measurement Location 100%
  • Fault Diagnosis 100%
  • Fault Detection 100%
  • Multisensor Fusion 100%
  • Rotors 33%
  269 Downloads (Pure)

• Vibration of a steam turbo-generator (TG) set during shutdown period

  Sinha, J., Hahn, W., Elbhbah, K. & Obi-Mgbam, K. G., 1 Aug 2016, In: Measurement. 90, p. 36-42 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Rotors 100%
  • Vibration Problem 33%
  • Vibration Measurement 33%
  423 Downloads (Pure)
• 2015

  A Comparison of Signal Processing Tools: Higher Order Spectra Versus Higher Order Coherences

  Yunusa-Kaltungo, A. & Sinha, J. K., 24 Aug 2015, In: Journal of Vibrational Engineering and Technologies. 3, 4, p. 461-472 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Power Spectral Density 100%
  • Health Monitoring 100%
  • Monitoring Technique 100%
  • Signal Processing 100%
  • Coherence 100%

• A novel fault diagnosis technique for enhancing maintenance and reliability of rotating machines

  Yunusa-Kaltungo, A., Sinha, J. & Nembhard, A., 1 Nov 2015, In: Structural Health Monitoring. 14, 6, p. 604-621 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Principal Components 100%
  784 Downloads (Pure)

• A Quantified Approach for a Reliability-based Maintenance Model

  Garcia Lizarraga, M. D. C. & Sinha, J., Jun 2015, In: Maintenance & Asset Management . 30, 3, p. 41-44

  Research output: Contribution to journal › Article

• Comparative study between the R-ODS and DND methods for damage detection in structures

  Asnaashari, E. & Sinha, J. K., Apr 2015, In: Measurement. 66, p. 80-89 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Damage Detection 100%
  • Normal Distribution 100%
  • Crack Detection 100%
  • Time Domain 75%
  • Frequency Domain 50%

• Development of a generic rotating machinery fault diagnosis approach insensitive to machine speed and support type

  Nembhard, A. D., Sinha, J. K. & Yunusa-Kaltungo, A., 17 Feb 2015, In: Journal of Sound and Vibration. 337, p. 321-341 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Rotating Machinery 100%
  • Fault Diagnosis 100%
  • Rotors 75%
  • Operating Characteristic 50%
  • Fault Condition 25%

• Experimental observations in the shaft orbits of relatively flexible machines with different rotor related faults

  Nembhard, A. D., Sinha, J. K. & Yunusa-Kaltungo, A., Nov 2015, In: Measurement. 75, p. 320-337 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Rotors 100%
  • Experimental Observation 100%
  • Shaft 100%
  • Fault Condition 50%
  • Ball Bearing 50%

• Implementing a maintenance strategy: a holistic approach

  Yunusa-Kaltungo, A. & Sinha, J., 14 May 2015, In: Maintenance Management. 15-16, 1, p. 8-10 3 p., 11.

  Research output: Contribution to journal › Article › peer-review

  • Maintenance Strategy 100%
  • Condition Monitoring System 100%
  • Manufacturing Plant 50%
  • Form Part 50%
  • Integral Part 50%

• In-house development of data collection and signal processing applications for vibration-based condition monitoring

  Asnaashari, E., Sinha, J., Andrew, I., Elbhbah, K. & Hahn, W., 1 Jul 2015, In: Noise & Vibration Worldwide. 46, 7, p. 9-13

  Research output: Contribution to journal › Article

• Unified Multi-speed Analysis (UMA) for the Condition Monitoring of Aero-Engines

  Nembhard, A. & Sinha, J. K., Dec 2015, In: Mechanical Systems and Signal Processing. 64-65, p. 84-99 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Aero-Engines 100%
  • Condition Monitoring 100%
  • Rotating Machinery 33%
  • Collected Data 33%
  • Separate Analysis 33%

• Use of composite higher order spectra for faults diagnosis of rotating machines with different foundation flexibilities

  Yunusa-Kaltungo, A., Sinha, J. K. & Nembhard, A. D., Jun 2015, In: Measurement. 70, p. 47-61 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Data Transmission 100%
  • Multisensor Fusion 100%
  • Fault Diagnosis 100%
  • Dynamic Behavior 33%
• 2014

  A comparison of on-bearing and shaft torsional vibration for blade vibration

  Gubran, A. & Sinha, J. K., Oct 2014, In: SOP Transactions on Signal Processing. 1, 1, p. 1-9 8 p., 3309-782.

  Research output: Contribution to journal › Article › peer-review

  • Blade Vibration 100%
  • Torsional Vibration 100%
  • Harmonics 50%
  • Rotating Machinery 50%
  • Resonance Frequency 50%

• An improved data fusion technique for faults diagnosis in rotating machines

  Yunusa-Kaltungo, A., Sinha, J. K. & Elbhbah, K., Dec 2014, In: Measurement. 58, p. 27-32 6 p.

  Research output: Contribution to journal › Article › peer-review

  • Fusion Technique 100%
  • Fault Diagnosis 100%
  • Multisensor Fusion 100%
  • Density 100%
  • Spectrum Method 60%