Performance Diagnosis for Turbojet Engines Based on Flight Data
Author:
Affiliation:
1. Associate Professor, Aviation Mechanical Engineering Dept., China Univ. of Science and Technology, Hsin-Chu 312, Taiwan, Republic of China.
Publisher
American Society of Civil Engineers (ASCE)
Subject
Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000210
Reference20 articles.
1. Aviation Safety Council. (2009). “Uni Airways Flight B7652.” Factual Data Collection Group Rep. ASC-AFR-09-10-001 New Taipei City Taiwan.
2. Stability Characteristics for Transport Aircraft Response to Clear-Air Turbulence
3. The Application of Expert Systems and Neural Networks to Gas Turbine Prognostics and Diagnostics
4. Fuzzy Logic Intelligent System for Gas Turbine Module and System Fault Isolation
5. NOISE AND OUTLIER REMOVAL FROM JET ENGINE HEALTH SIGNALS USING WEIGHTED FIR MEDIAN HYBRID FILTERS
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