Airborne Oxygen-Making System Drift Oxygen Sensor Characteristics for Fault Diagnosis Strategy
| Autor: | Jun Qing Cao, Jun Bin Cao, Xiang Yan Luo |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Engineering
Wavelet neural network ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATION business.industry Feature extraction chemistry.chemical_element General Medicine Wavelet packet analysis Fault (power engineering) Oxygen chemistry Electronic engineering Software design business Oxygen sensor |
| Zdroj: | Applied Mechanics and Materials. :371-375 |
| ISSN: | 1662-7482 |
| Popis: | This paper focuses on airborne oxygen-making system shortcomings of oxygen sensor characteristic drift in, proposes a method of fault diagnosis. Oxygen sensor with a Wavelet packet analysis of feature extraction, based on wavelet neural network method to determine whether the sensor has failed, and sensor to detect hardware and software design are given. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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