Performance Sensing Data Prediction for an Aircraft Auxiliary Power Unit Using the Optimized Extreme Learning Machine
The aircraft auxiliary power unit (APU) is responsible for environmental control in the cabin and the main engines starting the aircraft. The prediction of its performance sensing data is significant for condition-based maintenance. As a complex system, its performance sensing data have a typically...
Main Authors: | Xiaolei Liu, Liansheng Liu, Lulu Wang, Qing Guo, Xiyuan Peng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/18/3935 |
Similar Items
-
Skin Lesion Segmentation Using Deep Learning with Auxiliary Task
by: Lina Liu, et al.
Published: (2021-04-01) -
Developing Improved Predictive Estimator for Finite Population Mean Using Auxiliary Information
by: Subhash Kumar Yadav, et al.
Published: (2015-03-01) -
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research
by: Xiangrui Li, et al.
Published: (2018-12-01) -
Evaluation of Transmission Grid Voltage Impact on the Operation of Power Units’ Auxiliary Systems
by: Józef Paska, et al.
Published: (2015-12-01) -
STARTER-GENERATOR SYSTEM FOR AUXILIARY POWER UNIT
by: A. V. Levin, et al.
Published: (2017-11-01)