[HTML][HTML] Reliability engineering applications in electronic, software, nuclear and aerospace industries: A 20 year review (2000–2020)

AKM Nor, SR Pedapati, M Muhammad - Ain Shams Engineering Journal, 2021 - Elsevier
A review on reliability engineering applications in 4 industrial domains namely electronic,
software, nuclear and aerospace from the 2000′ s to the present day is compiled. The …

A review on gas turbine anomaly detection for implementing health management

N Zhao, X Wen, S Li - … : Power for Land, Sea, and Air, 2016 - asmedigitalcollection.asme.org
With the rapid improvement of equipment manufacturing technology and the ever increasing
cost of fuel, engine health management has become one of the most important parts of …

Adaptive sliding mode observer for sensor fault diagnosis of an industrial gas turbine

S Rahme, N Meskin - Control Engineering Practice, 2015 - Elsevier
Sensors are one of the crucial components in gas turbines and the failure in sensor
measurements can lead to serious problems in maintaining their safety and performance …

Fault detection and isolation of gas turbine using series–parallel NARX model

S Amirkhani, A Tootchi, A Chaibakhsh - ISA transactions, 2022 - Elsevier
This paper describes the design and implementation of intelligent dynamic models for fault
detection and isolation of V94. 2 (5)/MGT-70 (2) single-axis heavy-duty gas turbine system …

An improved extended Kalman filter with inequality constraints for gas turbine engine health monitoring

F Lu, H Ju, J Huang - Aerospace Science and Technology, 2016 - Elsevier
Various Kalman filter approaches have been proposed for the state estimation of gas turbine
engines, among which Linear Kalman Filter (LKF) is the most common one. Kalman filters …

Belief rule base structure and parameter joint optimization under disjunctive assumption for nonlinear complex system modeling

LL Chang, ZJ Zhou, YW Chen, TJ Liao… - … on Systems, Man …, 2017 - ieeexplore.ieee.org
Nonlinear complex system modeling has drawn attention from diverse fields and many
approaches have been developed. Among those approaches, the advantages of the belief …

Fault detection of aero-engine sensor based on inception-CNN

X Du, J Chen, H Zhang, J Wang - Aerospace, 2022 - mdpi.com
The aero-engine system is complex, and the working environment is harsh. As the
fundamental component of the aero-engine control system, the sensor must monitor its …

Restricted-Boltzmann-based extreme learning machine for gas path fault diagnosis of turbofan engine

F Lu, J Wu, J Huang, X Qiu - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
Extreme learning machine (ELM) owns the advantages of less computational efforts and
simple topology with single-hidden layer structure. However, the performance of plain ELM …

Sensor fault diagnosis for aero engine based on online sequential extreme learning machine with memory principle

J Lu, J Huang, F Lu - Energies, 2017 - mdpi.com
The on-board sensor fault detection and isolation (FDI) system is essential to guarantee the
reliability and safety of an aero engine. In this paper, a novel online sequential extreme …

Application of incremental support vector regression based on optimal training subset and improved particle swarm optimization algorithm in real-time sensor fault …

D Zhang, W Xiang, Q Cao, S Chen - Applied Intelligence, 2021 - Springer
Attracted by the advantages of support vector regression and incremental learning
approach, it is proposed in this work that an incremental support vector regression (ISVR) …