Aircraft interior failure pattern recognition utilizing text mining and neural networks

Rodrigues, Rogério S.; Balestrassi, Pedro Paulo; Paiva, Anderson Paulo de; Garcia‐Diaz, Alberto; Pontes, Fabrício José

doi:10.1007/s10844-011-0176-1

Cited by 10 publications

(12 citation statements)

References 44 publications

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“…Esmaeili and Hallowell [25] have acquired accident reports from National Institute for Occupational Safety and Health. Rodrigues and Balestrassi [26] have obtained the accident report from European Aviation Safety Agency to analyze the causes of aviation accident. Other academics have also obtained accident information from official channels to ensure the quality and reliability of the risk data [27][28][29].…”

Section: Data Collectionmentioning

confidence: 99%

Importance Degree Research of Safety Risk Management Processes of Urban Rail Transit Based on Text Mining Method

Wang

et al. 2018

Information

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China's urban rail transit (URT) construction is coming into the stage of rapid development under the guidance of national policies. However, the URT construction projects belong to high-risk projects and construction safety accidents occur frequently. Presently, safety risk management is in continuous development. Unfortunately, due to risk data deficiencies and lack of relationship between participants and safety risk factors, most of the research results cannot be well applied to URT projects. To overcome the limits, this paper has applied the text mining method into safety risk analysis. Through word frequency analysis and cluster analysis, 15 safety risk factors and 3 participants are identified from 156 accident reports. In addition, the accident descriptive model has been established, which is composed of indirect safety risk factors (management defects), direct safety risk factors and participants. In this model, each accident is the standardized description of the corresponding accident information. This is useful for risk data accumulation and analysis. Then the network structure analysis and risk assessment methods are utilized to make clear 63 relationships among participants, management defects and direct safety risk factors. Subsequently, the risk value of each relationship is evaluated. These safety risk information is integrated into the accident descriptive model by using accident points. Finally, ABC analysis which is a popular and effective method used to classify items into specific categories that can be managed and controlled separately is used to analyze the safety risk management's core process(A), important process(B) and general process(C) in the accident descriptive model. The research results show that the constructor should pay attention to construction coordination, safety specifications, safety measures and personnel education, the supervisor should attach importance to timely communication, the monitoring unit should pay attention to advanced forecast and dynamic control. The main research contributions are as follows: (1) A method of obtaining risk data from unstructured content has been provided; (2) The accident descriptive model could be utilized for risk data continuous accumulation; (3) The emphases of URT construction safety risk management are made clear.

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Section: Data Collectionmentioning

confidence: 99%

Importance Degree Research of Safety Risk Management Processes of Urban Rail Transit Based on Text Mining Method

Wang

et al. 2018

Information

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“…[14] Web forums Healthcare Healthcare providers [13] Patents records Business strategy Corporations [25] Full-text articles Healthcare (bio-informatics) Researchers [26] Facebook & Twitter Business strategy Corporations (fast-food companies, esp. pizza) [27] Internal databases Awards determination Research funding agencies [28] Internal databases Business strategy Corporations (airline companies)…”

Section: Source Of Article Source Of Data Application Area Affected Pmentioning

confidence: 99%

The Application of Text Mining and Analytics Studies: A Systematic Literature Review

Shayya¹,

Bahri²,

Jaafar³

et al. 2018

IJCTE

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A large amount of textual data is generated everyday through information technology, especially by social media platforms such as social network sites and mobile instant messaging applications. To analyse these large amount of textual data, analysts often turn to techniques called text mining and text analytics. Unfortunately, studies using these techniques are often more occupied with developing a new or extended models rather than determining how the findings could benefit organizations or societies. This occupation with the techniques rather than how the techniques could benefit the organizations or societies at large may render these studies a "plaything for the data scientists" rather than a useful technique to enhance knowledge and improve practice. This study intends to remedy this imbalance by identifying studies that use text mining and analytics techniques to inform organizational and societal practices. To do so, we will employ a method called the systematic literature review (SLR). The technique contains explicit and systematic process that distinguishes it from the conventional literature review. Eventually, the study reveals the source of data of the selected studies, their application area and the parties that will benefit from their findings. Lastly, this study discusses how studies using text mining and analytics can provide benefits to the larger society.

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“…DES allows to analyse interdependencies between particular events in detail, as described in [5]. For instance, information about failure message generation, LRU replacements and aircraft delays can exactly be represented and correlations described.…”

Section: Discrete Event Approachmentioning

confidence: 99%

“…A higher DR results in a higher aircraft availability and thereby implies a reduction of delay compensation costs (e.g. rescheduling costs, payoffs) as well as lower opportunity costs through more revenue flights, see [5] and [6]. According to [7] average costs of aircraft delays reach $113 per operating minute.…”

Section: Introductionmentioning

confidence: 99%

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Cost-benefit Analysis and Specification of Component-level PHM Systems in Aircraft

Kählert¹,

Giljohann²,

Klingauf³

2016

ujme

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Unplanned aircraft groundtimes caused by component failures create costs for the operator through delays and reduced aircraft availability. Unscheduled maintenance on the other hand also creates costs for Maintenance, Repair and Overhaul (MRO) companies. The use of PHM is considered to improve the planning of component-specific maintenance and thus reduces consequential costs of unscheduled events on both sides. This study assesses the component-specific costs and characteristics of today's maintenance approach. A discrete event simulation represents all relevant aircraft maintenance processes and dependencies. For this purpose the Event-driven Process Chain (EPC) method and Matlab/SimEvents are used. The data input (process information, empirical data) is provided by a particular MRO company. Whereas recent approaches deal with stochastically processed data only, e.g. failure probabilities, the proposed method mainly uses deterministic data. Empirical data, representing particular dependencies, describes all relevant stages in the component lifecycle. This includes operation, line and component maintenance, troubleshooting, planning and logistics. By simulating different scenarios, various maintenance future states can be evaluated by analysing effects on costs. The obtained economical and technical constraints allow to specify component-level PHM design parameters, as minimum prognostic horizon or accuracy. Detailed process-specific information is provided as well, e.g. costs of non-productive MRO activities or no-fault-found (NFF) characteristics.

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Aircraft interior failure pattern recognition utilizing text mining and neural networks

Cited by 10 publications

References 44 publications

Importance Degree Research of Safety Risk Management Processes of Urban Rail Transit Based on Text Mining Method

Importance Degree Research of Safety Risk Management Processes of Urban Rail Transit Based on Text Mining Method

The Application of Text Mining and Analytics Studies: A Systematic Literature Review

Cost-benefit Analysis and Specification of Component-level PHM Systems in Aircraft

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