Assessment of Aircraft Engine Blade Inspection Performance Using Attribute Agreement Analysis

نویسندگان

چکیده

Background—Visual inspection is an important element of aircraft engine maintenance to assure flight safety. Predominantly performed by human operators, those activities are prone error. While false negatives imply a risk aviation safety, positives can lead increased cost. The aim the present study was evaluate performance in visual aero blades, specifically operators’ consistency, accuracy, and reproducibility, as well system reliability. Methods—Photographs 26 blades were presented 50 industry practitioners three skill levels assess their performance. Each image shown each operator twice random order, leading N = 2600 observations. data statistically analysed using Attribute Agreement Analysis (AAA) Kappa analysis. Results—The results show that operators on average 82.5% consistent with serviceability decision, while achieving accuracy 67.7%. reproducibility 15.4%, all ground truth. Subsequently, false-positive false-negative rates separately overall showing 20 (40%) achieved acceptable performances, thus meeting required standard. Conclusions—In rate <5% per Aerospace Standard AS13100 arguably single most metric since it determines safety outcomes. this 60% appraisers. Thus, there desirability seek ways improve Some suggestions given regard.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Automatic Deformation Detection for Aircraft Engine Disk Inspection

Computer vision algorithms are seeing increased use in industrial inspection applications. Here, we present an “Aid to Visual” system that can detect post deformations of less than 0.005 inches in jet engine high pressure turbine disks. We create a gold-standard reference post from the posts of sample turbine disks and then use registration, edge detection, and curve-similarity algorithms to id...

متن کامل

Aircraft Engine Performance Study Using Flight Data Recorder Archives

Aircraft emissions are a significant source of pollution and are closely related to engine fuel burn. The onboard Flight Data Recorder (FDR) is an accurate source of information as it logs operational aircraft data in situ. The main objective of this paper is the visualization and exploration of data from the FDR. The Airbus A330 223 is used to study the variation of normalized engine performan...

متن کامل

Using Technology to Support Aircraft Inspection Training

Research in aircraft inspection and maintenance has revealed the criticality of human inspection performance in improving aviation safety. If we are to provide the general public with a safe and reliable air transportation system, inspection must be performed effectively, efficiently and consistently. Even though it is difficult to eliminate errors completely, continuing emphasis must be placed...

متن کامل

Surface Roughness of Aircraft Engine Blade Models Produced with Various Methods of Rapid Prototyping

Results of the study of surface roughness of the aircraft engine blade model, produced with various methods of rapid prototyping are presented. Blade models were made with two incremental methods of rapid prototyping: stereo lithography (SLA-250 device) and three-dimensional printing (Z510 Spectrum printer). In incremental methods of rapid prototyping a model is formed by hardening of consecuti...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Safety

سال: 2022

ISSN: ['2313-576X']

DOI: https://doi.org/10.3390/safety8020023