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  • Business Process Mining: An Industrial ... ProcessMining

    Key words: Process mining, social network analysis, workflow management, .... of this paper, we are unable to provide a complete listing of the many papers on ..... suspension facility 170 Parkeer and all low frequent activities (i.e., activities.

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  • A Comparison Between Data Mining Prediction Algorithms ... arXiv

    activities are aimed to reduce failures of industrial machinery and minimize the ... this paper is to detect wasted parts using different data mining ... there is a major need to process data in real time. New ... Components Analysis), KPCA (Kernel Principal Component ... detect different failures in thermal power plants. 4.

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  • Data mining of temporal sequences for the prediction of infrequent ...

    Mar 20, 2015 ... infrequent failure events: application on floating train data for .... 2.2 Data Mining: Definition and Process Overview . .... This shifted railway operators and manufacturers towards ..... in electrical production plants. 11 ...... product can be replaced by a kernel function, K(Xi,Xj) applied to the original input data.

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  • (PDF) Failure analysis of jaw crusher and its... ResearchGate

    In this regard, Crusher is one of the primary and essential equipment which is employed for .... mines, the role of mineral processing plant has grown leaps.

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  • Process Miner of the Year 2016 Fluxicon

    Veco has conducted a Process Mining project to reduce the manufacturing lead time ... Its uniqueness is that you can grow metal parts atom by atom, providing absolute ... Although the production equipment is state of the art and operated in a...

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  • Fault detection for mining and mineral processing equipment ...

    Sep 16, 2001 ... Fault detection is a technique being applied in the mining commodities ... interrupt the processing of material as well as the productivity of the plant. ... to the failure of a transmission belt or coupling are also possible to detect.

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  • Condition monitoring, fault diagnostics and prognostics in industrial ...

    Unavailability and further failures due to maintenance actions are avoided. T f. = failure time. T m. = ... algorithm). Autoassociative Kernel. Regression .... Machine learning and data mining algorithms ... calibration status during plant operation...

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  • Using SVM based method for equipment fault detection in a thermal ...

    raise efficiency, the equipment of thermal power plants is becoming ... mining based models for failure inspections, but not for fault predictions, such as the work of Yang and Liu [8]. Vast amounts of data describing process variables for boilers and turbines have .... build a SVM classifier including selecting kernel function,.

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  • Kernel spectral clustering for predicting maintenance of ... KU Leuven

    first type is performed only when the machine fails, it is expensive and ... sensor technology many process variables in a power plant can be sampled, like .... 40. 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)...

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  • navid khajehzadeh data and process mining ... Semantic Scholar

    capabilities of process mining are exploited on a factory automation testbed. ...... mining, using machine learning (data classification), pointing to failure of ..... kernel, multi layer perceptron kernel and guassian radial bases kernel function. 2.5.2...

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