Titlebook: International Congress and Workshop on Industrial AI 2021; Ramin Karim,Alireza Ahmadi,Raj Rao Conference proceedings 2022 The Editor(s) (i

摊位

Carbon-Monoxide

Analysis of Breakdown Reports Using Natural Language Processing and Machine Learning,eason behind that was that the free-textual information was too unstructured, in terms of for instance: spelling- and grammar mistakes and use of slang. That is the quality of the data are not suitable for the analysis. However, several improvement potentials in reporting and to develop the CMMS fur

惰性气体

,An ICT System for Gravel Road Maintenance – Information and Functionality Requirements,nce action. Moreover, the knowledge available at specific stakeholders is not shared with other actors. In this paper, an Information and Communication Technology (ICT) system for gravel road maintenance is proposed in the form of a cloud-based system covering the information needs of stakeholders i

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An ILP Approach for the Maintenance Crew Scheduling Problem Considering Skillsets,ts indicate that the maintenance team could be reduced, suggesting that maintenance crew scheduling and associated labour conditions may need more flexible approaches. This model is also part a broader framework, as it is connected to two different models: a tactical maintenance planning model, and

大漩涡

Analysis of Systematic Influences on the Insulation Resistance of Electronic Railway Interlocking S Germany specific measurement devices continuously observe the insulation resistance of the entire electrical interlocking system. If the observed insulation resistance drops below a defined threshold an alarm is raised. As part of a research project and proof-of-concept, the monitoring device of th

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心胸开阔

Bearing Lubricant Corrosion Identification Through Transfer Learning,ting roles, such as developing solutions for inspection and quantifying corrosion on bearings. This paper designs a solution model using the limited amount of ‘real’ data from in-house testing coupled with Convolutional Neural Networks (CNN) and Transfer Learning (TL). We show that conflicting resul

Inflamed

Combining the Spectral Coherence with Informative Frequency Band Features for Condition Monitoring atio of the predetermined component-of-interest in the frequency bands of a set of order-frequency spectral coherences. Thereafter, the optimal band for detecting the component-of-interest is determined by maximising the IFBI.gram. The order-frequency spectral coherence simultaneously displays the s

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Blockchain Technology for Information Sharing and Coordination to Mitigate Bullwhip Effect in Servimong supply chain partners by exchanging real-time information. Blockchain as a disruptive technology has many distinct features like disintermediation and decentralization that provide integrity, visibility and security for the supply chain. To bridge this gap, this paper aims at proposing a blockc