scholarly journals Influence of source data on fatigue estimation of a fighter aircraft

2018 ◽  
Vol 48 (1) ◽  
pp. 301-322
Author(s):  
Piotr Reymer ◽  
Wojciech Zieliński ◽  
Artur Kurnyta
Keyword(s):  
Load Spectrum ◽  
Safe Operation ◽  
Fighter Aircraft ◽  
Aircraft Structures ◽  
Flight Data ◽  
Design Load ◽  
Source Data ◽  
Actual Load ◽  
Load Monitoring ◽  
Fatigue Estimation

Abstract Aircraft structures during operation are exposed to fluctuating loads caused both by aerodynamic and inertial loads. This fluctuation leads to the creation of fatigue cycles, which gradually diminish the residual durability of the structure. During the design process, the flight envelope is defined as well as the design load spectrum, which then defines the durability of the structure (often expressed in means of flight hours). However, during the operation of an individual aircraft the actual load cycles can be significantly lower or higher than the designed; therefore, load monitoring is essential for safe operation of aircraft structures. The following article shows the results of fatigue analysis based on flight data from different flight data recorders for the Su-22 fighter aircraft.

The Design of Wireless Load Monitoring System of Auxiliary Shift Based on Labview

2012 ◽  
Vol 182-183 ◽  
pp. 753-757
Author(s):  
Xing Ming Xiao ◽  
Na Ma
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Software Design ◽  
Design Principle ◽  
Monitor System ◽  
Actual Load ◽  
Load Monitoring ◽  
Working Principle ◽  
Formation Design

According to the working principle of load monitored oil pressure, in order to real-time monitor the actual load of auxiliary shift, and make the execution of alarming on the malfunctions in the working state of the equipment concerned, we designed a monitor system of auxiliary shift based on Labview[1]. This system can provide guarantee of the safety lifting. So the formation, design principle, hardware and software design well be introduced in this article.

scholarly journals Non-Intrusive Load Disaggregation by Linear Classifier Group Considering Multi-Feature Integration

2019 ◽  
Vol 9 (17) ◽  
pp. 3558 ◽  
Author(s):  
Jinying Yu ◽  
Yuchen Gao ◽  
Yuxin Wu ◽  
Dian Jiao ◽  
Chang Su ◽  
...  
Keyword(s):  
Identification Accuracy ◽  
Data Set ◽  
Linear Discriminant ◽  
Practical Applications ◽  
Core Technology ◽  
Open Source Data ◽  
Source Data ◽  
Load Monitoring ◽  
Global Similarity ◽  
Linear Discriminant Classifier

Non-intrusive load monitoring (NILM) is a core technology for demand response (DR) and energy conservation services. Traditional NILM methods are rarely combined with practical applications, and most studies aim to disaggregate the whole loads in a household, which leads to low identification accuracy. In this method, the event detection method is used to obtain the switching event sets of all loads, and the power consumption curves of independent unknown electrical appliances in a period are disaggregated by utilizing comprehensive features. A linear discriminant classifier group based on multi-feature global similarity is used for load identification. The uniqueness of our algorithm is that it designs an event detector based on steady-state segmentation and a linear discriminant classifier group based on multi-feature global similarity. The simulation is carried out on an open source data set. The results demonstrate the effectiveness and high accuracy of the multi-feature integrated classification (MFIC) algorithm by using the state-of-the-art NILM methods as benchmarks.

scholarly journals Experimental Study of a Multipoint Random Dynamic Loading Identification Method Based on Weighted Average Technique

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xiaonan Gai ◽  
Kaiping Yu
Keyword(s):  
Dynamic Loading ◽  
Thermal Protection ◽  
Low Frequency ◽  
Weighted Average ◽  
Threshold Value ◽  
Structure Identification ◽  
Load Spectrum ◽  
Average Technique ◽  
Identification Method ◽  
Actual Load

Most of random dynamic loading identification research studies are about the original inverse pseudoexcitation method which does not fundamentally reduce the negative effect of ill-conditioned frequency response function matrix on accuracy of loading identification. This paper describes a new improved method based on weighted average technique to reduce peak errors between identified load spectrum and the actual load spectrum near some natural frequencies. Meanwhile, relative error of root mean square value between identified load and the actual load is reduced. The introduced selection method of threshold value is innovative which is the key of weighted average technique. This improved loading identification method is successfully applied to experiments of cantilever beam and thermal protection composite plate structure. Identification results prove that the proposed method is valid by good agreement between identified power spectrum density and the actual one. Moreover, this method has higher accuracy than inverse pseudoexcitation method in low-frequency band.

Requirements for safe operation of transport aircraft structures

2012 ◽  
Vol 41 (1) ◽  
pp. 83-90 ◽  
Author(s):  
G. I. Nesterenko ◽  
V. S. Dubinskii ◽  
V. Ya. Senik
Keyword(s):  
Safe Operation ◽  
Aircraft Structures ◽  
Transport Aircraft

Influence of Extension of Load Spectrum on Estimation of Residual Fatigue Lifetime of Railway Axle

2016 ◽  
Vol 258 ◽  
pp. 607-610
Author(s):  
Pavel Pokorný ◽  
Pavel Hutař ◽  
Luboš Náhlík
Keyword(s):  
Load Spectrum ◽  
Safe Operation ◽  
Fatigue Lifetime ◽  
Term Operation ◽  
Railway Axle ◽  
Tolerance Approach ◽  
Curved Track ◽  
Service Conditions ◽  
Residual Fatigue

Railway axles are subjected to cyclic amplitude loading which can lead to fatigue failure. For safe operation of railway axles a damage tolerance approach taking into account a possible defect in railway axle is often required. Because of different operation regimes of trains (fast/slow ride, ride on straight track, on curved track, over switches etc.) the load amplitude of axle is not constant. The variability of load is defined by a load spectrum, which is determined experimentally by measuring of load in service conditions. Even though the load spectrum is measured on several hundreds or thousands of operation kilometres, the railway axles are in operation much longer time (often tens of years). Therefore, some load amplitudes higher than ones measured in the test can occur during a long-term axle service. The contribution presented deals with the effect of extension of load spectrum by rare high load amplitudes, which can occur during long-term operation, on residual fatigue lifetime of railway axles.

Helicopter flight data feature extraction or component load monitoring

1996 ◽  
Vol 33 (1) ◽  
pp. 37-45 ◽  
Author(s):  
David J. Haas ◽  
Lance Flitter ◽  
Joel Milano
Keyword(s):  
Feature Extraction ◽  
Flight Data ◽  
Helicopter Flight ◽  
Load Monitoring

scholarly journals Application of Operational Load Monitoring System for Fatigue Estimation of Main Landing Gear Attachment Frame of an Aircraft

Materials ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6564
Author(s):  
Michal Dziendzikowski ◽  
Artur Kurnyta ◽  
Piotr Reymer ◽  
Marcin Kurdelski ◽  
Sylwester Klysz ◽  
...  
Keyword(s):  
Landing Gear ◽  
Fatigue Wear ◽  
Operational Load ◽  
Load Monitoring ◽  
Management Paradigms ◽  
Optimal Maintenance ◽  
Fatigue Estimation ◽  
The Individual ◽  
Vertical Landing ◽  
The Impact

In this paper, we present an approach to fatigue estimation of a Main Landing Gear (MLG) attachment frame due to vertical landing forces based on Operational Loads Monitoring (OLM) system records. In particular, the impact of different phases of landing and on ground operations and fatigue wear of the MLG frame is analyzed. The main functionality of the developed OLM system is the individual assessment of fatigue of the main landing gear node structure for Su-22UM3K aircraft due to standard and Touch-And-Go (T&G) landings. Furthermore, the system allows for assessment of stress cumulation in the main landing gear node structure during touchdown and allows for detection of hard landings. Determination of selected stages of flight, classification of different types of load cycles of the structure recorded by strain gauge sensors during standard full stop landings and taxiing are also implemented in the developed system. Based on those capabilities, it is possible to monitor and compare equivalents of landing fatigue wear between airplanes and landing fatigue wear across all flights of a given airplane, which can be incorporated into fleet management paradigms for the purpose of optimal maintenance of aircraft. In this article, a detailed description of the system and algorithms used for landing gear node fatigue assessment is provided, and the results obtained during the 3-year period of system operation for the fleet of six aircraft are delivered and discussed.

Separation Dynamics of Air-to-Air Missile and Validation with Flight Data

2017 ◽  
Vol 68 (1) ◽  
pp. 5 ◽  
Author(s):  
Debasis Chakraborty ◽  
K Anandhanarayanan ◽  
Ankit Raj ◽  
Vaibhav Shah ◽  
R Krishnamurthy
Keyword(s):  
Aerodynamic Force ◽  
Flight Test ◽  
Rigid Body Dynamics ◽  
Test Case ◽  
Fighter Aircraft ◽  
Flight Data ◽  
Store Separation ◽  
Euler Solver ◽  
Cloud Of Points ◽  
Mission Objective

<p class="p1">Prediction of flight characteristics of a store in the vicinity of an aircraft is vitally important for ensuring the safety of the aircraft and effectiveness of the store to meet the mission objective. Separation dynamics of an agile air-to-air-Missile from a fighter aircraft is numerically simulated using an integrated store separation dynamics suite. Chimera cloud of points along with a grid-free Euler solver is used to obtain aerodynamic force on the missile and the force is integrated using a rigid body dynamics code to obtain the missile position. In the present work, the suite is applied to a flight test case and sensitivity of trajectory variables on launch parameters is studied. Further, the results of the suite are compared with the flight data. The predicted body rates and Euler angles of missile compare well with the flight data.<span class="Apple-converted-space"> </span></p><p class="p2"><span class="Apple-converted-space"> </span></p>

AREVA’s Modularized Fatigue Monitoring for Lifetime Extension and Flexible Plant Operation

2014 ◽  
Author(s):  
Benedikt Heinz ◽  
David Wu
Keyword(s):  
Fatigue Assessment ◽  
Plant Operation ◽  
Thermal Transients ◽  
Plant Behavior ◽  
Load Following ◽  
Load Monitoring ◽  
Flexible Plant ◽  
Fatigue Estimation ◽  
The Impact ◽  
Lifetime Extension

For plant lifetime extension programs, AREVA provides a customized solution for thermal load monitoring and fatigue calculation. Requirements like environmental assisted fatigue effects or flexible plant operation (load following) have crucial impacts for a detailed fatigue assessment. With a modularized monitoring concept and automated simplified fatigue estimation technique, plant components can be monitored very cost efficiently with validated methodologies, providing flexible, fast and accurate results. The layout of the modularized monitoring system is simplified and different options can be added on demand. With the automated fatigue assessment, thermal transients can be classified and a cumulative usage factor can be estimated on-line. With the help of this method, the impact of thermal transients to the component fatigue can be evaluated just in time. That can be a piece of important information to get for a better knowledge about the plant behavior during flexible operating (load following) modes.

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