scholarly journals F-16 turbofan engine monitoring system

2019 ◽  
Vol 177 (2) ◽  
pp. 23-35
Author(s):  
Sławomir SZRAMA
Keyword(s):  
Monitoring System ◽  
Health Management ◽  
Engine Performance ◽  
Turbofan Engine ◽  
Turbofan Engines ◽  
Maintenance System ◽  
Management Concept ◽  
And Performance ◽  
Engine Maintenance ◽  
Engine Reliability

The multirole F-16 is the most advanced aircraft in the Polish Air Forces. It has been equipped with the very modern, sophisticated and advanced turbofan engine F100-PW-229. Due to the fact, that there is only one engine, its reliability, durability, efficiency and performance are the crucial factors for the safety reasons. In the article author researched maintenance system of the F100 turbofan engines, to describe Engine Monitoring System features. Engine Monitoring System (EMS) is the key element in the engine prognostic and health monitoring. The EMS provides engine fault indicators to the pilots and technicians and with the engine performance trending affects the F-16 flight safety risk and enhanced engine maintenance management concept. The main goal of this article was to provide information on the F-16 Engine Monitoring System and its impact on the aircraft airworthiness and F-16 fleet readiness resulting from the engine reliability. It is also an introduction to the F-16 Engine Health Management concept.

scholarly journals Hazard identification process in the selected analysis domain of the F100 turbofan engines maintenance system

2017 ◽  
Vol 171 (4) ◽  
pp. 68-73
Author(s):  
Sławomir SZRAMA ◽  
Adam KADZIŃSKI
Keyword(s):  
Hazard Identification ◽  
System Model ◽  
Schematic Diagram ◽  
Turbofan Engine ◽  
Identification Process ◽  
Turbofan Engines ◽  
Sources Identification ◽  
Maintenance System ◽  
And Performance ◽  
Hazard Sources

The multirole F-16 is the most advanced aircraft in the Polish Air Forces. It has been equipped with the very modern, sophisticated and advanced turbofan engine F100-PW-229. Due to the fact, that there is only one engine, its reliability, durability efficiency and performance are the crucial factors for the safety reasons. In the article authors researched maintenance system of the F100 turbofan engines, which are built on the multirole F-16 aircraft. For the study purposes F100 maintenance system model has been created. From this model, the main analysis domain was derived, comprising “Major engine objects discrepancies removal” process. Considering such an analysis domain, on the basis of the schematic diagram of the hazard identification process, authors presented the following procedures: tools preparation for the hazard sources identification, hazard sources identification, hazard sources grouping and hazards formulation. The main goal of this article was to provide hazard identification process results as hazard specifications, which include: a group of hazard sources, hazards formulation and the most probable/predictable consequences, severities and losses/harms of the hazard activation.

Entropy, Energy and Exergy for Measuring PW4000 Turbofan Sustainability

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Hakan Aygun ◽  
Onder Turan
Keyword(s):  
Thrust Force ◽  
Engine Performance ◽  
Sustainable Growth ◽  
Performance Parameters ◽  
Turbofan Engine ◽  
Effect Factor ◽  
Energy And Exergy ◽  
And Performance ◽  
Engine Components ◽  
Main Engine

Abstract This study focuses on for a PW4000 high-bypass turbofan engine using energy, exergo-sustainable and performance viewpoint. For this aim, irreversibility and performance analyses are firstly performed for five main engine components at ≈260 kN maximum take-off thrust force. Besides, overall efficiency of the turbofan is determined to be 33 %, while propulsive and thermal efficiency of the turbofan are 72 % and 46 % respectively at 0.8 M and 288.15 K flight conditions. Secondly, calculation component-based exergetic assessment is carried out using exergetic indicators. According to the calculation, the exergetic efficiency of the engine is 32 %, while its waste exergy ratio is 0.678. Furthermore, exergetic sustainability measure is obtained as 0.473, while enviromental effect factor is 2.112. These indicators are also anticipated to help comprehend the connection between engine performance parameters and worldwide dimensions such as environmental effect and sustainable growth.

scholarly journals Semigroup of Finite-State Deterministic Intuitionistic Fuzzy Automata with Application in Fault Diagnosis of an Aircraft Twin-Spool Turbofan Engine

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Sajida Kousar ◽  
Farah Aslam ◽  
Nasreen Kausar ◽  
Yaé Ulrich Gaba
Keyword(s):  
Fault Diagnosis ◽  
Early Stage ◽  
Engine Performance ◽  
Turbofan Engine ◽  
Inference System ◽  
Turbofan Engines ◽  
Intuitionistic Fuzzy ◽  
Finite State ◽  
Air Cooler ◽  
Fuzzy Automata

The twin-spool turbofan engine is an important component of almost every modern aircraft. Fault detection at an early stage can improve engine performance and health. The current research is based on the construction of an inference system for fault diagnosis in a generalized fuzzy environment. For such an inference system, finite-state deterministic intuitionistic fuzzy automata (FDIFA) are established. A semigroup of FDIFA and its algebraic properties including substructures and structure-preserving maps are studied. The FDIFA semigroups are used as variables for the inference system, and FDIFA semigroup homomorphisms are used to indicate the relation between variables. The newly established model is then applied to diagnose the possible fault and their nature in aircraft twin-spool turbofan engines by modelling the performance of the supercharger and air cooler.

Probabilistic Engine Maintenance Modeling for Varying Environmental and Operating Conditions

2010 ◽  
Author(s):  
Matthias Mu¨ller ◽  
Stephan Staudacher ◽  
Winfried-Hagen Friedl ◽  
Rene´ Ko¨hler ◽  
Matthias Weißschuh
Keyword(s):  
Engine Performance ◽  
Distribution Functions ◽  
Performance Model ◽  
Operating Conditions ◽  
Maintenance Cost ◽  
Engine Operation ◽  
Performance Deterioration ◽  
And Performance ◽  
The Individual ◽  
Engine Maintenance

The maintenance and reliability of aircraft engines is strongly influenced by the environmental and operating conditions they are subjected to in service. A probabilistic tool has been developed to predict shop visit arisings and respective maintenance workscope that depends on these factors. The tool contains a performance model of the engine and a number of physics-based damage mechanisms (at piece part level). The performance model includes variation of performance relevant parameters due to production scatter and delivers the conditions to determine the deterioration of the individual parts. Shop visit maintenance is modeled as a result of limitations to engine operation, e.g. reaching TGT limit, or mechanical deterioration. The influence of maintenance actions on engine performance is determined on component basis. The maintenance strategy can consist of proactive and reactive maintenance elements. The decision of repair or replacement of any single part is implemented through a sum of different logic rules in the model. The loading capacity scatter depends on the engine type and is operator independent. It is represented via data-driven distribution functions, in which the probabilities of failure, repair and replacement for each part are specified depending on the number of reference flight cycles. The loading variation is considered through a physics-based cycle weighting. The developed tool runs a Monte Carlo simulation in which a fleet of engines is modeled through their respective lifetime of maintenance and performance deterioration. Using an example it is shown that the model can describe the effects of varying environmental and operating conditions on part damage, and therefore engine maintenance cost and reliability.

scholarly journals Penentuan Interval Waktu Perawatan Mesin Blowing dan Mesin Filling Menggunakan Teori Reliability dan Model Age Replacement (Studi Kasus pada PT. XYZ)

2020 ◽  
Vol 22 (2) ◽  
pp. 1-12
Author(s):  
Endang Prasetyaningsih ◽  
Ilyas Ruchiyat ◽  
Chaznin R. Muhammad
Keyword(s):  
Engine Performance ◽  
Maintenance Cost ◽  
Time Interval ◽  
Time Intervals ◽  
Machine Reliability ◽  
Maintenance Time ◽  
Replacement Model ◽  
Age Replacement ◽  
Engine Maintenance ◽  
Engine Reliability

Engine performance will decrease when it is operated continuously so that maintenance is needed. Improper maintenance time intervals can reduce engine reliability and still causes machine damage suddenly. Therefore, maintenance time intervals must be determined precisely. This study aims to determine the engine maintenance time intervals using Reliability Theory and Age Replacement Model, then calculate the total maintenance cost. The result shows that the application of new maintenance time interval increases machine reliability.

Optimization of Aero Gas Turbine Maintenance Using Advanced Simulation and Diagnostic Methods

2014 ◽  
Vol 136 (11) ◽  
Author(s):  
Joern Kraft ◽  
Vishal Sethi ◽  
Riti Singh
Keyword(s):  
Engine Performance ◽  
Diagnostic Methods ◽  
Operating Costs ◽  
Maintenance Optimization ◽  
Simulation Methods ◽  
Maintenance Costs ◽  
Turbofan Engines ◽  
The Past ◽  
Engine Maintenance ◽  
Maintenance Process

Engine maintenance costs are a major contributor to the direct operating costs of aircraft. Therefore, the minimization of engine maintenance costs per flight-hour is a key aspect for airlines to operate successfully under challenging market conditions. Minimization can be achieved by increasing the on-wing time or by reducing the shop-visit costs. Combining both provides optimum results and can only be achieved by thorough understanding of the engine. In the past, maintenance optimization was mainly an experience-based process. In this work, a novel analytical approach is presented to optimize the maintenance of commercial turbofan engines. A real engine fleet of more than 100 long-haul engines is used to demonstrate the application. The combination of advanced diagnostic and simulation methods with classical hardware-based failure analysis enables linking of overall engine performance with detailed hardware condition and, thus, an effective optimization of the overall maintenance process.

Evolutionary Algorithm for Enhanced Gas Path Analysis in Turbofan Engines

2021 ◽  
Author(s):  
T. O. Rootliep ◽  
W. P. J. Visser ◽  
M. Nollet
Keyword(s):  
Path Analysis ◽  
Evolutionary Algorithm ◽  
Operating Point ◽  
Turbofan Engine ◽  
Turbofan Engines ◽  
Novel Approach ◽  
Multiple Data Sets ◽  
Engine Maintenance ◽  
Operating Points ◽  
Health Parameters

Abstract Adaptive modelling (AM) based Gas Path Analysis (GPA) is a powerful diagnostic and prognostic technique for turbofan engine maintenance. This involves the assessment of turbofan component condition using thermodynamic models that can iteratively adapt to measurements values in the gas path by changing component condition parameters. The problem with this approach is that newer turbofan engines such as the General Electric GEnx-1B have fewer gas path sensors installed causing the AM equation systems to become underdetermined. To overcome this problem, a novel approach has been developed that combines the AM model with an Evolutionary Algorithm (EA) optimization scheme and applies it to multiple operating points. Additionally, these newer turbofan engines provide performance data continuously during flight. Information on variable geometry and bleed valve position, active clearance control state and power off-take is included and can be accounted for to further enhance AM model accuracy. A procedure is proposed where the selection of operating points is based on steady-state stability requirements, cycle model operating point uncertainty and parameter outlier filtering. The Gas turbine Simulation Program (GSP) is used as the non-linear GPA modelling environment. A Multiple Operating Point Analysis (MOPA) is chosen to overcome the problem of underdetermination by utilizing multiple data sets at different operating points. The EA finds the best fit of health parameter deviations by minimizing the multi-point objective function using the GSP AM model. A sub-form of the EA class named Differential Evolution (DE) has been chosen as the optimizer. Like all EAs, DE is a parallel direct search method in which a population of parameter vectors evolves following genetic operations towards an optimum output candidate. The resulting hybrid GPA tool has been verified by solving for different simulated deterioration cases of a GSP model. The tool can identify the direction and magnitude of condition deviation of 10 health parameters using 6 gas path sensors. It has subsequently been validated using historical in-flight data of the GEnx-1B engine. It has demonstrated successful tracking of engine component condition for all 10 health parameters and identification of events such as turbine blade failure and water washes. The authors conclude that the tool has proven significant potential to enhance turbofan engine condition monitoring accuracy for minimizing maintenance costs and increasing safety and reliability.

scholarly journals Transient Performance Trending for a Turbofan Engine

1988 ◽  
Author(s):  
J. R. Henry ◽  
W. C. Moffatt
Keyword(s):  
Engine Performance ◽  
Aircraft Engine ◽  
Monitoring Systems ◽  
Transient Performance ◽  
Statistical Tool ◽  
Turbofan Engine ◽  
Steady State Operation ◽  
Transient Data ◽  
Health Monitoring Systems ◽  
Engine Maintenance

The “on condition” concept of aircraft engine maintenance has led to intensive analysis of the data recorded by engine health monitoring systems during steady-state operation of the engine. To date however the transient data acquired during takeoff or during in-flight transients have received far less attention. In this paper the results of an investigation of the feasibility of utilizing engine data acquired during takeoff to trend the performance of a modern turbofan engine (GE-F404) are presented. Factors influencing the repeatability of takeoff data such as throttle rate, variable geometry and instrumentation effects are discussed in detail. Using representative engine data from operational aircraft, various trending parameters are evaluated using a data capture window developed to minimize the scatter of nominal engine performance. A statistical tool employed to identify performance shifts is described, and when applied to a recently-repaired engine successfully detected a shift in its takeoff performance. It is concluded that trending of transient performance data is a viable means of detecting certain engine faults and recommendations are made concerning the implementation of such a program for the F404 engine.

scholarly journals Precision Error in a Turbofan Engine Monitoring System

1988 ◽  
Author(s):  
J. R. Henry ◽  
W. C. Moffatt
Keyword(s):  
Steady State ◽  
Monitoring System ◽  
Engine Performance ◽  
Monitoring Systems ◽  
Data Sampling ◽  
Turbofan Engine ◽  
Precision Error ◽  
Transient Data ◽  
Processing Engine ◽  
Aircraft Data

In modern aircraft, the use of engine monitoring systems to develop performance trend lines relies upon the systems’ precision (i.e. repeatability). This paper describes an investigation of precision error in the turbofan engine monitoring system of a modern fighter, based on steady state and transient data records. Both the aircraft data acquisition system and a ground-based system of known precision error were used to measure engine-mounted sensor outputs, the result being an estimate of sensor precision. Sensor precisions were also determined based on manufacturers’ specifications. Furthermore, based on steady state and transient aircraft data, a method was devised for estimating overall system precision. From this information, it was concluded that (1) precision errors in sensing are markedly lower than those incurred in conditioning and processing engine data and (2) possible improvements to the monitoring system are constrained by data sampling rates and digital word formats. Precision error intervals for engine data were obtained so that the significance of shifts in engine performance could be assessed.

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