Results 281 to 290 of about 1,306,417 (313)
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Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine
Engineering applications of artificial intelligence, 2020The original kernel extreme learning machine (KELM) employs all training samples to construct hidden layer, thus avoiding the performance fluctuations caused by the ELM randomly assigning weights.
Bing Li, Yongping Zhao
semanticscholar +1 more source
Engineering Fracture Mechanics, 2019
This paper presents a 3D crack growth simulation of an aircraft engine high pressure compressor blade which fractured in service. Using FRANC3D, an initial crack is inserted and grown using the max tensile stress theory.
Dikran Mangardich, F. Abrari, Z. Fawaz
semanticscholar +1 more source
This paper presents a 3D crack growth simulation of an aircraft engine high pressure compressor blade which fractured in service. Using FRANC3D, an initial crack is inserted and grown using the max tensile stress theory.
Dikran Mangardich, F. Abrari, Z. Fawaz
semanticscholar +1 more source
, 2021
Four-stroke spark ignition (SI) aircraft piston engine is a good choice for small aircraft, however it has limited applications based on its high operational cost and security risk on account of its fuel use.
Huasheng Cui +4 more
semanticscholar +1 more source
Four-stroke spark ignition (SI) aircraft piston engine is a good choice for small aircraft, however it has limited applications based on its high operational cost and security risk on account of its fuel use.
Huasheng Cui +4 more
semanticscholar +1 more source
Non-destructive diagnostic of aircraft engine blades by Fuzzy Decision Tree
Engineering structures, 2019A new algorithm for non-destructive diagnosis based on signal classification is proposed. This algorithm permits classifying objects with different properties depending on signals characterizing the objects.
J. Rabcan +4 more
semanticscholar +1 more source
Soft extreme learning machine for fault detection of aircraft engine
Aerospace Science and Technology, 2019When extreme learning machine (ELM) is used to cope with classification problems, the ±1 is commonly used to construct the label vector. Since ELM adopts the square loss function, this means that it tends to force the margins of all the training samples ...
Yongping Zhao +5 more
semanticscholar +1 more source
, 2019
The fretting fatigue and crack propagation of an aircraft engine fan dovetail attachment made of Ti-6Al-4V alloy has been numerically modeled and compared with controlled spin test results.
Dikran Mangardich, F. Abrari, Z. Fawaz
semanticscholar +1 more source
The fretting fatigue and crack propagation of an aircraft engine fan dovetail attachment made of Ti-6Al-4V alloy has been numerically modeled and compared with controlled spin test results.
Dikran Mangardich, F. Abrari, Z. Fawaz
semanticscholar +1 more source
Aircraft engine degradation prognostics based on logistic regression and novel OS-ELM algorithm
Aerospace Science and Technology, 2019Online sequential extreme learning machine (OS-ELM) learns data one-by-one or chunk-by-chunk, and the recursive least square (RLS) algorithm is commonly employed to train the topological parameters of OS-ELM.
F. Lu +3 more
semanticscholar +1 more source
Unilateral alignment transfer neural network for fault diagnosis of aircraft engine
, 2021Bing Li, Yongping Zhao, Chen Yaobin
semanticscholar +1 more source
Aerospace Science and Technology, 2019
Imbalanced problems often occur when the size of majority class is bigger than that of the minority one. The Least squares support vector machine (LSSVM) is an effective method for solving classification problem on balanced datasets.
Peng-Peng Xi +5 more
semanticscholar +1 more source
Imbalanced problems often occur when the size of majority class is bigger than that of the minority one. The Least squares support vector machine (LSSVM) is an effective method for solving classification problem on balanced datasets.
Peng-Peng Xi +5 more
semanticscholar +1 more source