{"id":41,"date":"2019-11-08T14:14:31","date_gmt":"2019-11-08T13:14:31","guid":{"rendered":"http:\/\/dmc.pwr.edu.pl\/?page_id=41"},"modified":"2020-01-14T11:34:39","modified_gmt":"2020-01-14T10:34:39","slug":"dmc-analytics-and-monitoring","status":"publish","type":"page","link":"https:\/\/dmc.pwr.edu.pl\/index.php\/dmc-analytics-and-monitoring\/","title":{"rendered":"Analytics and Monitoring"},"content":{"rendered":"\n

Data analytics is one of the largest areas of our activity. However, it is important to distinguish between the analyses related directly to machine diagnostics<\/a>, and ones that serve other purposes. In this context, DMC undertakes the challenges related to process monitoring, efficiency and reliability analysis, maintenance management and others. <\/p>\n\n\n\n

Due to the wide variety of analyzed data types (raw input data as well as intermediate data structures during the analytical process), there is a need to be able to wield a wide variety of data processing techniques. Hence, constant learning and improvement is an unquestionable policy of DMC. Experience gained over the years by our members allows utilizing advanced analytical methods that allow to achieve desired goals.<\/p>\n\n\n\n

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Regardless of the project or specific solution, there are always critical questions to be answered, with the most important one from our point of view: <\/p>\n\n\n\n

How to transform raw data into information interpretable by human user?<\/strong><\/p>\n\n\n\n

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The image above presents an example of two different ways that the same portion of raw data (top panel) can be processed and analyzed to obtain high-level information about the process. The technique presented on the bottom left panel utilized the analysis of the map constructed using Anderson-Darling statistic. Related research:<\/p>\n\n\n

<\/a><\/form>

Wodecki, Jacek; Stefaniak, Pawel; Michalak, Anna; Wylomanska, Agnieszka; Zimroz, Radoslaw<\/p>

Technical condition change detection using Anderson--Darling statistic approach for LHD machines--engine overheating problem<\/a> Journal Article<\/span> <\/p>

In: <\/span>International Journal of Mining, Reclamation and Environment, <\/span>vol. 32, <\/span>no. 6, <\/span>pp. 392-400, <\/span>2018<\/span>.<\/p>

Links<\/a><\/span><\/p>

@article{wodecki2017technicalb,
\r\ntitle = {Technical condition change detection using Anderson--Darling statistic approach for LHD machines--engine overheating problem},
\r\nauthor = {Jacek Wodecki and Pawel Stefaniak and Anna Michalak and Agnieszka Wylomanska and Radoslaw Zimroz},
\r\ndoi = {10.1080\/17480930.2017.1388336},
\r\nyear  = {2018},
\r\ndate = {2018-01-01},
\r\njournal = {International Journal of Mining, Reclamation and Environment},
\r\nvolume = {32},
\r\nnumber = {6},
\r\npages = {392-400},
\r\npublisher = {Taylor & Francis},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
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