A review on extreme learning machine
Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …
neural network (SLFN), which converges much faster than traditional methods and yields …
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
[HTML][HTML] A review of aircraft auxiliary power unit faults, diagnostics and acoustic measurements
Abstract The Auxiliary Power Unit (APU) is an integral part of an aircraft, providing electrical
and pneumatic power to various on-board sub-systems. APU failure results in delay or …
and pneumatic power to various on-board sub-systems. APU failure results in delay or …
A hybrid method of remaining useful life prediction for aircraft auxiliary power unit
The aircraft auxiliary power unit (APU) is mainly used to provide electricity and compressed
air to the aircraft. Not only can it help to start main engines, but also it can provide essential …
air to the aircraft. Not only can it help to start main engines, but also it can provide essential …
[HTML][HTML] A hybrid deep neural network based on multi-time window convolutional bidirectional LSTM for civil aircraft APU hazard identification
Z Di, X Zhuang, ZUO Hongfu - Chinese Journal of Aeronautics, 2022 - Elsevier
Safety is one of the important topics in the field of civil aviation. Auxiliary Power Unit (APU) is
one of important components in aircraft, which provides electrical power and compressed air …
one of important components in aircraft, which provides electrical power and compressed air …
Temperature prediction of heating furnace based on deep transfer learning
N Zhai, X Zhou - Sensors, 2020 - mdpi.com
Heating temperature is very important in the process of billet production, and it directly
affects the quality of billet. However, there is no direct method to measure billet temperature …
affects the quality of billet. However, there is no direct method to measure billet temperature …
Fault simulations and diagnostics for a Boeing 747 Auxiliary Power Unit
Health monitoring of aircraft systems is of great interest to aircraft manufacturers and
operators because it minimises the aircraft downtime (due to avoiding unscheduled …
operators because it minimises the aircraft downtime (due to avoiding unscheduled …
Extreme learning machine-based diagnostics for component degradation in a microturbine
Micro turbojets are used for propelling radio-controlled aircraft, aerial targets, and personal
air vehicles. When compared to full-scale engines, they are characterized by relatively low …
air vehicles. When compared to full-scale engines, they are characterized by relatively low …
[HTML][HTML] Applications of artificial intelligence in air operations: A systematic review
CL Tafur, RG Camero, DA Rodríguez, JCD Rincón… - Results in …, 2025 - Elsevier
This systematic review evaluates the applications of artificial intelligence (AI) in air
operations, following the PRISMA 2020 methodology. The primary objective is to identify …
operations, following the PRISMA 2020 methodology. The primary objective is to identify …
Apple internal quality fusion prediction by multi-pattern recognition technology and evidence theory
S Bi, X Li, L Ma, Q Zhao, T Shen, S Shi - Mobile Networks and Applications, 2022 - Springer
Apple internal quality prediction plays an important role in automatic apple grading. In this
paper, apples are graded according to soluble solid content (SSC), which is one of the most …
paper, apples are graded according to soluble solid content (SSC), which is one of the most …