Access the full text.
Sign up today, get DeepDyve free for 14 days.
Society of Automotive Engineers (2001)
ARP 5580: recommended failure modes and effects analysis (FMEA)
D. Scholz
DOCSYS-A Method to Evaluate Aircraft Systems
Zhigang Tian, Lorna Wong, N. Safaei (2010)
A neural network approach for remaining useful life prediction utilizing both failure and suspension historiesMechanical Systems and Signal Processing, 24
N. Vichare, M. Pecht (2008)
Prognostics and health management of electronicsIEEE Transactions on Components and Packaging Technologies, 29
A. Jardine, Daming Lin, D. Banjevic (2006)
A review on machinery diagnostics and prognostics implementing condition-based maintenanceMechanical Systems and Signal Processing, 20
Civil Aviation Authority (2009)
Aircraft maintenance incident analysis
A. Muchiri (2012)
Comparing Alternative Strategies of Aircraft Maintenance, 4
K. Goode, J. Moore, B. Roylance (2000)
Plant machinery working life prediction method utilizing reliability and condition-monitoring dataProceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 214
Seven-Year Forecast
US Department of Transportation (2014)
July 2015 air travel consumer report
(1995)
Condition monitored maintenance: An explanatory handbook, s.l.: s.n
Federal Aviation Administration (2012)
AC 121-22C – maintenance review boards, maintenance type boards, and OEM/TCH recommended maintenance procedures
Zhigang Tian, M. Zuo (2010)
Health Condition Prediction of Gears Using a Recurrent Neural Network ApproachIEEE Transactions on Reliability, 59
(1995)
Betriebskostenschätzung von Flugzeugsystemen als Beitrag zur Enwurfsoptimierung
(1978)
AC 120-17A -Maintenance Control by Reliability Methods, s.l.: s.n
Federal Aviation Administration (1995)
Aviation system indicators – 1994 and 1995 annual report
European Aviation Safety Agency (2008)
Issue paper 44 – MRB check interval escalations
AFNOR (1994)
Recueil des normes françaises X 06
(2013)
Maintenance Type Boards, and OEM/TCH Recommended Maintenance Procedures
N. Hölzel, T. Schilling, V. Gollnick (2014)
An Aircraft Lifecycle Approach for the Cost-Benefit Analysis of Prognostics and Condition-based Maintenance based on Discrete Event Simulation
Stephan Ebersbach, Zhongxiao Peng (2008)
Expert system development for vibration analysis in machine condition monitoringExpert Syst. Appl., 34
(2002)
An introduction to predictive maintenance. s.l
Jong-Ho Shin, H. Jun (2015)
On condition based maintenance policyJ. Comput. Des. Eng., 2
(1998)
The structure and effectiveness of industrial maintenance. s.l
Air Transport Association of America (2007)
MSG-3: operator/manufacturer scheduled maintenance development
V. Tran, Bo-Suk Yang, A. Tan (2009)
Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systemsExpert Syst. Appl., 36
Fagang Zhao, Jin Chen, Lei Guo, Xinglin Li (2009)
Neuro-fuzzy Based Condition Prediction of Bearing Health:Journal of Vibration and Control, 15
M. Sachon, M. Paté-Cornell (2000)
Delays and safety in airline maintenanceReliab. Eng. Syst. Saf., 67
L. Schruben (1983)
Confidence Interval Estimation Using Standardized Time SeriesOper. Res., 31
Chao-Shiou Chen, Bin Zhang, G. Vachtsevanos (2012)
Prediction of Machine Health Condition Using Neuro-Fuzzy and Bayesian AlgorithmsIEEE Transactions on Instrumentation and Measurement, 61
R. Knotts (1999)
Civil aircraft maintenance and support Fault diagnosis from a business perspectiveJournal of Quality in Maintenance Engineering, 5
International Air Transport Association (2015)
Best Practices for Component Maintenance Cost Management
富久 慎太郎 (2011)
MSG-3 (Operator/Manufacturer Scheduled Maintenance Development)(ABCs of Aeronautical and Space Sciences), 59
(1994)
AC 25-19 -Certification Maintenance Requirements, s.l.: s.n
Psvm Sugumaran, K. Ramachandran (2011)
Effect of number of features on classification of roller bearing faults using SVM and PSVMExpert Syst. Appl., 38
A. Cook, G. Tanner, Stephen Anderson (2004)
Evaluating the true cost to airlines of one minute of airborne or ground delay: final report
V. Tran, Hong Pham, Bo-Suk Yang, T. Nguyen (2012)
Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machineMechanical Systems and Signal Processing, 32
(2006)
Aircraft Maintenance Incident Analysis, s.l.: s.n. Civil Aviation Regulations Directorate
J. Sikorska, M. Hodkiewicz, Lin Ma (2011)
Prognostic modelling options for remaining useful life estimation by industry
A. Widodo, Bo-Suk Yang (2007)
Support vector machine in machine condition monitoring and fault diagnosisMechanical Systems and Signal Processing, 21
V. Sugumaran, K. Ramachandran (2007)
Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearingMechanical Systems and Signal Processing, 21
> Replace This Line with Your Paper Identification Number (double-click Here to Edit) <
Mari Garcia, M. Sanz-Bobi, Javier Pico (2006)
SIMAP: Intelligent System for Predictive Maintenance: Application to the health condition monitoring of a windturbine gearboxComput. Ind., 57
E. Kiyak (2012)
The Effects of Aircraft Preventive Maintenance on Reliability
V. Sugumaran, V. Muralidharan, K. Ramachandran (2007)
Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearingMechanical Systems and Signal Processing, 21
A. Cook, G. Tanner (2011)
European airline delay cost reference values
(1978)
Prognostics and health management of electronics. s.l
(2014)
The rise and fall of CBM (Condition based Maintenance). s.l., s.n
N. Saravanan, K. Ramachandran (2009)
Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classificationExpert Syst. Appl., 36
(2010)
Benefits of Optimizing Maintenance Intervals. s.l., s.n. Caesarendra
IEEE Transactions on Industrial Electronics, 58
Tianyi Wang, Jianbo Yu, David Siegel, J. Lee (2008)
A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems2008 International Conference on Prognostics and Health Management
Gang Niu, M. Pecht (2009)
A framework for cost-effective and accurate maintenance combining CBM RCM and data fusion2009 8th International Conference on Reliability, Maintainability and Safety
Airbus SAS (2008)
In-service reports database
International Civil Aviation Organization (2015)
Master minimum equipment list/minimum equipment list policy and procedures manual
Nicholas Rupp, G. Holmes (2006)
An Investigation into the Determinants of Flight CancellationsWiley-Blackwell: Economica
Airbus SAS (2008)
Orders and deliveries
(2007)
Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing. Mechanical systems and signal processing
(1995)
Aviation System Indicators -1994 and 1995 Annual Report, s.l.: s.n. Federal Aviation Administration
J. Stecki, S. Rudov-Clark, C. Stecki (2013)
The Rise and Fall of CBM (Condition Based Maintenance)Key Engineering Materials, 588
M. Wagner, M. Fricke (2006)
ESTIMATION OF DAILY UNSCHEDULED LINE MAINTENANCE EVENTS IN CIVIL AVIATION
(2011)
Zustandsüberwachung von Maschinen: Das Lehr-und Arbeitsbuch für den Praktiker. s.l
R. Mobley (1989)
An introduction to predictive maintenance
J. Williams, A. Davies, P. Drake (1994)
Condition-based maintenance and machine diagnostics
A. Mahamad, S. Saon, T. Hiyama (2010)
Predicting remaining useful life of rotating machinery based artificial neural networkComput. Math. Appl., 60
(1994)
Condition-based Maintenance and Machine Diagnostics. s.l
(2002)
Methodology for Analysis of Operational Interruption Costs. FAST, Issue 26
W. Caesarendra, Gang Niu, Bo-Suk Yang (2010)
Machine condition prognosis based on sequential Monte Carlo methodExpert Syst. Appl., 37
(1994)
Recueil des normes françaises
(2011)
Zustandsüberwachung von Maschinen: Das Lehr- und Arbeitsbuch für den Praktiker
H. Pham, Bo-Suk Yang (2010)
Estimation and forecasting of machine health condition using ARMA/GARCH modelMechanical Systems and Signal Processing, 24
J. Ferguson, Abdul Kara, K. Hoffman, L. Sherry (2013)
Estimating domestic US airline cost of delay based on European modelTransportation Research Part C-emerging Technologies, 33
A. Ahmadi, P. Söderholm, U. Kumar (2010)
On aircraft scheduled maintenance program developmentJournal of Quality in Maintenance Engineering, 16
Zhigang Tian (2012)
An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoringJournal of Intelligent Manufacturing, 23
(2005)
Hidden Function of Safety/Emergency Systems or Equipment MSG-3 Category Selection -Embraer Example
PurposeThe purpose of this paper is to analyze the effects of condition-based maintenance based on unscheduled maintenance delays that were caused by ATA chapter 21 (air conditioning). The goal is to show the introduction of condition monitoring in aircraft systems.Design/methodology/approachThe research was done using the Airbus In-Service database to analyze the delay causes, delay length and to check if they are easy to detect via condition monitoring or not. These results were then combined with delay costs.FindingsAnalysis shows that about 80 percent of the maintenance actions that cause departure delays can be prevented when additional sensors are introduced. With already existing sensors it is possible to avoid about 20 percent of the delay causing maintenance actions.Research limitations/implicationsThe research is limited on the data of the Airbus in-service database and on ATA chapter 21 (air conditioning).Practical implicationsThe research shows that delays can be prevented by using existing sensors in the air conditioning system for condition monitoring. More delays can be prevented by installing new sensors.Originality/valueThe research focuses on the effect of the air conditioning system of an aircraft on the delay effects and the impact of condition monitoring on delays.
Journal of Quality in Maintenance Engineering – Emerald Publishing
Published: Oct 10, 2016
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.