Implementation Backward Chaining to Detect Damage on the Ignition of Aircraft Cessna

Sri Mulyani

Abstract


Ignition system is one of system to helps in combustion processes on the Cessna aircraft engine. In Cessna aircraft operations, ignition have been often reported to be damaged. Failure modes related to failure of the aircraft are ignored, not working, unserviceable, broken, and burned. Where analysis of aircraft maintenance has 50 times the problem with the ignition system which is dominated by worn out plugs which is 16 times. So the detection of damage aircraft is very important, Backward Chaining is part of the expert system method, where is this method can be used in detect damage  that occurs on the Cessna aircraft with the Best-First Search technique. Using this method can be reduce flight failure with detect damage aircraft.


Keywords


unserviceable, broken and burned

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References


Prat, & Whitney. (2017). Maintenance Manual Model, PT6A-114/-114A/- 135/-135A, Chapter 74. Canada: Pratt & Whitney.

FAA. (2012). Dalam FAA, Aviation Maintenance Technician Handbook-Power plant (hal. vol 1). U.S. Department of Transportation.

Kroes, & Wild. (1994). Aircraft Powerplants, Seventh Edition. New York: GLENCOE Aviation Technology Series, New York.

Turban E, Aroson J.E, & Liang T.P. (2005). Decision Support System and Intelligent System (Sistem Pendukung keputusan dan Sistem Cerdas), Edisi 7, Jilid 2. Yogyakarta: CV. Andi Offset.

Nugraha, D. W. (2014). istem Pakar Untuk Mendiagnosa Kerusakan Perangkat Televisi. 10(2), 113–126.

Tout, K. R., & Evans, D. J. (1992). Practical aspects and experiences Parallel forward chaining technique with dynamic scheduling , for rule-based expert systems.




DOI: http://dx.doi.org/10.28989/senatik.v4i0.252

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Conference SENATIK P-ISSN :2337-3881 and  E-ISSN : 2528-1666

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