Manufacturing Engineering Process Control Automation

Industrial Automation from Scratch eBooks & eLearning

Posted by TiranaDok at March 28, 2024

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Thermal Processing of Foods: Control and Automation (repost) eBooks & eLearning

Posted by libr at June 11, 2017

Thermal Processing of Foods: Control and Automation (Institute of Food Technologists Series) by K. P. Sandeep
English | ISBN: 0813810078 | 2011 | PDF | 220 pages | 6,7 MB

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Electrical and Electronics Engineering Collection eBooks & eLearning

Posted by free4magazines at Jan. 7, 2017

Electrical and Electronics Engineering Collection
36 PDF Books | English | 748 GB

A complete collection for all students of Power and Electronics Engineering, or for professionals looking for a handy reference book. As a friend of mine once said : perhaps the most valuable collection to possess when the apocalypse hits and we have to rebuild everything!

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Advanced Automation Techniques in Adapti (Repost) eBooks & eLearning

Posted by DZ123 at Sept. 12, 2017

Rajagopalan Devanathan, Aik Meng Fong, Xiaoqi Chen, "Advanced Automation Techniques in Adapti"
English | 2002 | ISBN: 9810249020 | PDF | pages: 321 | 6.1 mb

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Industrial Engineering - The Fundamentals eBooks & eLearning

Posted by lucky_aut at Jan. 19, 2024

Industrial Engineering - The Fundamentals
Published 1/2024
Duration: 1h13m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.17 GB
Genre: eLearning | Language: English

Optimizing Systems and Processes in Industry for Manufacturing and Services Organizations

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REAL-TIME SYSTEMS: IMPLEMENTATION OF INDUSTRIAL COMPUTERIZED PROCESS AUTOMATION eBooks & eLearning

Posted by Free butterfly at Nov. 30, 2023

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Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications (Repost) eBooks & eLearning

Posted by AvaxGenius at March 1, 2024

Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications by Ajoy K. Palit , Dobrivoje Popovic
English | PDF | 2005 | 382 Pages | ISBN : 1852339489 | 3.2 MB

Foresight in an engineering enterprise can make the difference between success and failure, and can be vital to the effective control of industrial systems. Applying time series analysis in the on-line milieu of most industrial plants has been problematic owing to the time and computational effort required. The advent of soft computing tools offers a solution.

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