Optimized Automotive Fault-Diagnosis based on Knowledge Extraction from Web Resources

Meckel, Simon; Zenkert, Johannes; Weber, Christian; Obermaisser, Roman; Fathi, Madjid; Sadat, Rubaiyat

doi:10.1109/etfa.2019.8869057

Cited by 2 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several approaches and tools are mentioned, which consider recommended methods of visualizing the relations within mined textual data, such as the Pinda tool [27], which adopts a hierarchical representation of texts using the k-means clustering algorithm for grouping the mining results. In [28], approaches are introduced to extract sub-knowledge-graphs as procedural representations, to partially exploit hierarchical information in semistructured texts.…”

Section: Knowledge Graphsmentioning

confidence: 99%

A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned During the Microchip Design

Abu-Rasheed

Weber

Zenkert

et al. 2020

Advances in Intelligent Systems and Computing

Self Cite

View full text Add to dashboard Cite

The production of microchips is a complex and thus well documented process. Therefore, available textual data about the production can be overwhelming in terms of quantity. This affects the visibility and retrieval of a certain piece of information when it is most needed. In this paper, we propose a dynamic approach to interlink the information extracted from multisource production-relevant documents through the creation of a knowledge graph. This graph is constructed in order to support searchability and enhance user's access to large-scale production information. Text mining methods are firstly utilized to extract data from multiple documentation sources. Document relations are then mined and extracted for the composition of the knowledge graph. Graph search functionality is then supported with a recommendation use-case to enhance users' access to information that is related to the initial documents. The proposed approach is tailored to and tested on microchip design-relevant documents. It enhances the visibility and findability of previous design-failure-cases during the process of a new chip design.

show abstract

Section: Knowledge Graphsmentioning

confidence: 99%

A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned During the Microchip Design

Abu-Rasheed

Weber

Zenkert

et al. 2020

Advances in Intelligent Systems and Computing

Self Cite

View full text Add to dashboard Cite

show abstract

“…The maintenance of a new passenger car is a process that includes the regular technical inspection of the vehicle to detect and eliminate faults [1]. It is also preventive maintenance to maintain the vehicle's performance and keep all the installed systems in operation [2]. Routine maintenance usually includes regular inspection and the service of the equipment, which is performed according to the manufacturer's recommendations.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Correct Frequency of the Service Inspections of German Passenger Cars—A Case Study on Kazakhstan and Poland

Nurkusheva,

Bembenek,

Berdychowski

et al. 2024

Vehicles

View full text Add to dashboard Cite

This article presents a case study on estimating the real service inspection intervals for German-brand passenger cars in Kazakhstan and Poland. This study aimed to identify disparities between the official recommendations of manufacturers for car maintenance and the real data collected in these two countries. The following passenger cars were examined: Audi A6, Q5, and Q8; Porsche Cayenne and Cayenne coupe; and Volkswagen Passat, Polo, Teramont, Tiguan, Touareg, Arteon, Golf, T-Cross, Tiguan all space, Touran, T-Roc, and Up. To assess the difference between real and recommended values, the manufacturer criteria of a recommended mileage of 15,000 and 30,000 km or a time frame of 365 and 730 days to the first service inspection were applied. The data analysis showed that in Kazakhstan, 31.4% of cars did not meet the warranty conditions, while in Poland, it was 21.0%. The dominant criterion that was not met was the time criterion. The assessment of these factors emphasizes the importance of customizing vehicle maintenance schedules to the specific conditions and driving behaviors prevalent in each country. The practical contribution of the article lies in uncovering the discrepancies between official manufacturer recommendations for car maintenance and the actual data collected in Kazakhstan and Poland. By identifying specific models, Volkswagen Touareg and Tiguan in Kazakhstan and Volkswagen Up in Poland, for which the maintenance intervals deviated significantly from those recommended, this study offers valuable insights for optimizing service schedules and improving the efficiency of maintenance practices in these countries. From a scientific perspective, this article contributes by providing empirical evidence of real-world maintenance behaviors for German-brand passenger cars.

show abstract

Optimized Automotive Fault-Diagnosis based on Knowledge Extraction from Web Resources

Cited by 2 publications

References 9 publications

A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned During the Microchip Design

A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned During the Microchip Design

An Analysis of the Correct Frequency of the Service Inspections of German Passenger Cars—A Case Study on Kazakhstan and Poland

Contact Info

Product

Resources

About