A review: multiplicative faults and model-based condition monitoring strategies for fault diagnosis in rotary machines

P Kumar, R Tiwari - Journal of the Brazilian Society of Mechanical …, 2023 - Springer
In the present review article, the research findings in the field of investigating the vibrational
nature of the rotating machineries under the influence of multiplicative faults and their …

Rotor dynamic behaviors of a novel bearing system with bi-directional tilting effects: Experiment and theory

Z **e, K Yang, W Gao, B Zhao, P Du… - Mechanical Systems and …, 2024 - Elsevier
The strong time-varying dynamic load, irregular and unpredictable impact of the propeller
lead to the shaft inclination and uncertain contact, which worsen the stability of propulsion …

Artificial intelligence of things based approach for anomaly detection in rotating machines

T Mian, A Choudhary, S Fatima, BK Panigrahi - Computers and Electrical …, 2023 - Elsevier
In the present era of Industry 4.0, Artificial Intelligence (AI) and Internet of Things (IoT) are
revitalizing the predictive maintenance systems for industrial rotating machines through real …

Multi-sensor fault diagnosis for misalignment and unbalance detection using machine learning

T Mian, A Choudhary, S Fatima - IEEE Transactions on Industry …, 2023 - ieeexplore.ieee.org
Rotating machines frequently undergo various faults causing increased maintenance and
operation costs. To minimize these costs, effective and intelligent methods are thus required …

An innovative virtual trial misalignment approach for identification of unbalance, sensor and active magnetic bearing misalignment along with its stiffness parameters …

R Tiwari, P Kumar - Mechanical Systems and Signal Processing, 2022 - Elsevier
A model-based identification algorithm derived from an innovative virtual trial misalignment
(VTM) strategy is developed to identify the rotor unbalance, active magnetic bearings …

Transient nonlinear dynamics of the rotor system supported by low viscosity lubricated bearing

Z **e, K Yang, J Jiao, W Qin, T Yang, C Fu… - … Journal of Nonlinear …, 2022 - pubs.aip.org
This paper clarifies the mechanism of the dynamic characteristics of the water-lubricated
bearing-rotor coupling system at different operating stages. Dynamic models of the water …

Fault diagnosis of active magnetic bearings

GM da Silva, R Pederiva - Mechatronics, 2022 - Elsevier
Active magnetic bearings (AMBs) are intrinsically unstable systems and require feedback
control to ensure stable operation. Further, sensors, actuators, and the rotor need to operate …

A vibration fault identification framework for shafting systems of hydropower units: nonlinear modeling, signal processing, and holographic identification

Y Shi, J Zhou, J Huang, Y Xu, B Liu - Sensors, 2022 - mdpi.com
The shafting systems of hydropower units work as the core component for the conversion of
water energy to electric energy and have been running for a long time in the hostile …

Identification of system parameters and external forces in AMB-supported PMSM system

Y Yao, H Sha, Y Su, G Ren, S Yu - Mechanical Systems and Signal …, 2022 - Elsevier
Active magnetic bearings (AMBs) have unique superiority in vibration reduction and
nowadays have been widely used in permanent magnet synchronous motor (PMSM). To …

Dynamic analysis and identification in a cracked and unbalanced rigid rotor with two offset discs and one middle disc mounted on foil bearings

P Kumar - International Journal of Dynamics and Control, 2024 - Springer
Online identification of serious faults, such as cracks and unbalance, is significantly
important for the safe, smooth and efficient performance of rotating machines such as …