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Open AccessJournal ArticleDOI

Matrix profile implementation perspective in Industrial Internet of Things production maintenance application

Jakub Pizoń, +2 more
- Vol. 1736, Iss: 1, pp 012036
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TLDR
The matrix profile processing is considered for the implementation of production maintenance tasks in the context of data acquisition by industrial Internet of Things solutions, presenting the method of processing non-labelled data registered by sensors.
Abstract
The matrix profile processing is considered for the implementation of production maintenance tasks in the context of data acquisition by industrial Internet of Things solutions. The prospective implementation of the matrix profile data structure is verified through a dedicated case study, presenting the method of processing non-labelled data registered by sensors. The case study demonstrates the functionality of the profile and indicates the prospects of their applications in the field of production maintenance.

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Citations
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A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

TL;DR: In this paper, the authors showed how the Digital Twin technology can be used to test the operating environment of an autonomous mobile robot (AMR) in order to assess the correctness of the design assumptions adopted for the early phase of the implementation of an AMR vehicle in a company's production hall.
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Matrix Profile-Based Approach to Industrial Sensor Data Analysis Inside RDBMS

TL;DR: An approach to managing and mining sensor data inside RDBMSs that exploits the Matrix Profile concept is proposed, which surpasses the above-mentioned out-of-TSDBMS competitors in terms of performance since it assumes that sensor data are mined inside a TSDBMS at no significant overhead costs.
Journal ArticleDOI

Industrial Application of Deep Neural Network for Aluminum Casting Defect Detection in Case of Unbalanced Dataset

TL;DR: In this paper , a deep neural network was developed for casting defect detection, which assumes the use of data related to the casting manufacturing process, i.e. measurement signals from the casting machine, rather than data describing the finished casting, e.g. images.
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Identification of the impact of the availability factor on the efficiency of production processes using the ahp and fuzzy ahp methods

TL;DR: In this paper , the impact of technical and non-technical factors on the material selection of machine tools for production tasks and a method of supporting the selection of production resources using the AHP and Fuzzy AHP methods was developed.
References
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Journal ArticleDOI

Intelligent Manufacturing in the Context of Industry 4.0: A Review

TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
Journal ArticleDOI

Industrial Internet of Things: Challenges, Opportunities, and Directions

TL;DR: The concepts of IoT, Industrial IoT, and Industry 4.0 are clarified and the challenges associated with the need of energy efficiency, real-time performance, coexistence, interoperability, and security and privacy are focused on.
Journal ArticleDOI

Towards Industry 4.0 - Standardization as the crucial challenge for highly modular, multi-vendor production systems

TL;DR: The SmartFactoryKL project as discussed by the authors developed a highly modular, multi-vendor production line based on common concepts and standardization activities, which was used as a sample reference for Industry 4.0.
Proceedings ArticleDOI

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets

TL;DR: A novel scalable algorithm for time series subsequence all-pairs-similarity-search that computes the answer to the time series motif and time series discord problem as a side-effect, and incidentally provides the fastest known algorithm for both these extensively-studied problems.
Journal ArticleDOI

Data Management in Industry 4.0: State of the Art and Open Challenges

TL;DR: In this paper, a survey of the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future is presented, motivated by the rich conclusions of this critical analysis, and select interesting open challenges for future research.
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