Machinery health prognostics: A systematic review from data acquisition to RUL prediction

Y Lei, N Li, L Guo, N Li, T Yan, J Lin - Mechanical systems and signal …, 2018 - Elsevier
Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

Latest developments in gear defect diagnosis and prognosis: A review

A Kumar, CP Gandhi, Y Zhou, R Kumar, J **ang - Measurement, 2020 - Elsevier
Gears are an important component of industrial machinery and a breakdown of machinery
on account of the failure of gears could result in immense production loss. Timely monitoring …

A systematic review on failure modes and proposed methodology to artificially seed faults for promoting PHM studies in laboratory environment for an industrial …

P Goswami, RN Rai - Engineering Failure Analysis, 2023 - Elsevier
Gears are indispensable part of any industrial application. Gearbox have a rugged
construction and are subjected to extremely harsh environmental conditions in industries …

Cloud-enabled prognosis for manufacturing

R Gao, L Wang, R Teti, D Dornfeld, S Kumara, M Mori… - CIRP annals, 2015 - Elsevier
Advanced manufacturing depends on the timely acquisition, distribution, and utilization of
information from machines and processes across spatial boundaries. These activities can …

Degradation-aware remaining useful life prediction with LSTM autoencoder

JY Wu, M Wu, Z Chen, XL Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The remaining useful life (RUL) prediction plays a pivotal role in the predictive maintenance
of industrial manufacturing systems. However, one major problem with the existing RUL …

Prediction interval estimation of aeroengine remaining useful life based on bidirectional long short-term memory network

C Chen, N Lu, B Jiang, Y **ng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reliable and accurate aeroengine remaining useful life (RUL) prediction plays a key role in
the aeroengine prognostics and health management (PHM) system. However, due to the …

Extended Kalman filtering for remaining-useful-life estimation of bearings

RK Singleton, EG Strangas… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Condition-based maintenance, which includes both diagnosis and prognosis of faults, is a
topic of growing interest for improving the reliability of electrical drives. Bearings constitute a …

Health index-based prognostics for remaining useful life predictions in electrical machines

F Yang, MS Habibullah, T Zhang, Z Xu… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Many industries have a growing awareness in utilizing new technologies to improve the
reliability and availability of their systems. Prognostics, a subject concerned with the …

Discovering prognostic features using genetic programming in remaining useful life prediction

L Liao - IEEE Transactions on Industrial Electronics, 2013 - ieeexplore.ieee.org
In prognostics approaches, features (eg, vibration level, root mean square or outputs from
signal processing techniques) extracted from the measurement (eg, vibration, current, and …

Machine condition prediction based on adaptive neuro–fuzzy and high-order particle filtering

C Chen, B Zhang, G Vachtsevanos… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Machine prognosis is a significant part of condition-based maintenance and intends to
monitor and track the time evolution of a fault so that maintenance can be performed or the …