Výsledky vyhledávání - "Sonia Kiangala"

Akademický článek

An Effective Predictive Maintenance Framework for Conveyor Motors Using Dual Time-Series Imaging and Convolutional Neural Network in an Industry 4.0 Environment

Autor: Kahiomba Sonia Kiangala, Zenghui Wang

Publikováno v: IEEE Access, Vol 8, Pp 121033-121049 (2020)

The ascent of Industry 4.0 and smart manufacturing has emphasized the use of intelligent manufacturing techniques, tools, and methods such as predictive maintenance. The predictive maintenance function facilitates the early detection of faults and er

Externí odkaz: https://doaj.org/article/6032025780294317aaf4491b507ee545

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Akademický článek

An Experimental Safety Response Mechanism for an Autonomous Moving Robot in a Smart Manufacturing Environment Using Q-Learning Algorithm and Speech Recognition

Autor: Kahiomba Sonia Kiangala, Zenghui Wang

Publikováno v: Sensors, Vol 22, Iss 3, p 941 (2022)

The industrial manufacturing sector is undergoing a tremendous revolution moving from traditional production processes to intelligent techniques. Under this revolution, known as Industry 4.0 (I40), a robot is no longer static equipment but an active

Externí odkaz: https://doaj.org/article/bde5bd40c81e44ac94b180c9e6b8375c

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An Experimental Safety Response Mechanism for an Autonomous Moving Robot in a Smart Manufacturing Environment Using Q-Learning Algorithm and Speech Recognition

Autor: Sonia Kiangala, Zenghui Wang

Publikováno v: Sensors, Vol 22, Iss 941, p 941 (2022)
Sensors; Volume 22; Issue 3; Pages: 941

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd33ad0745eebc64425f31607c9193d7
https://www.mdpi.com/1424-8220/22/3/941

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An Effective Communication Prototype for Time-Critical IIoT Manufacturing Factories Using Zero-Loss Redundancy Protocols, Time-Sensitive Networking, and Edge-Computing in an Industry 4.0 Environment

Autor: Kahiomba Sonia Kiangala, Zenghui Wang

Publikováno v: Processes; Volume 9; Issue 11; Pages: 2084
Processes, Vol 9, Iss 2084, p 2084 (2021)

The Industrial Internet of things (IIoT), the implementation of IoT in the industrial sector, requires a deterministic, real-time, and low-latency communication response for its time-critical applications. A delayed response in such applications coul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af597405382a2e6a7e49badd23fe7b4a

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A Safety Response Mechanism for an Autonomous Moving Robot in a Small Manufacturing Environment using Q-learning Algorithm and Speech Recognition

Autor: Sonia Kiangala, Zenghui Wang

The industrial manufacturing sector is currently undergoing a tremendous revolution moving from traditional production processes to intelligent techniques. Under this revolution, known as Industry 4.0 (I40), a robot is no longer a static equipment bu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b9509203418d2cfa8d19e4287ab866d3
https://doi.org/10.21203/rs.3.rs-703829/v1

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An Industry 4.0 approach to develop auto parameter configuration of a bottling process in a small to medium scale industry using PLC and SCADA

Autor: Zenghui Wang, Kahiomba Sonia Kiangala

Publikováno v: Procedia Manufacturing. 35:725-730

Recent trends of manufacturing processes, like Industry 4.0 (I4.0), strive to replace existing manual systems with fully self-controlled, reconfigurable processes to improve the overall production system. This paper develops a strategy to track close

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c070239fca47cf8a11eb5b7ba409f7c
https://doi.org/10.1016/j.promfg.2019.06.015

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An adaptive framework for configuration of parameters in an Industry 4.0 manufacturing SCADA system by merging machine learning techniques

Autor: Zenghui Wang, Kahiomba Sonia Kiangala

Publikováno v: 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD).

Industry 4.0 (I40) is characterized by a shift from traditional production systems, where the human supervisor or the operator is the main force behind all operations, to smart factories driven by artificial intelligence (AI) where machines and intel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63c76854fec68e980e0f2e9fc49153e4
https://doi.org/10.1109/icabcd49160.2020.9183818

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Initiating predictive maintenance for a conveyor motor in a bottling plant using industry 4.0 concepts

Autor: Kahiomba Sonia Kiangala, Zenghui Wang

Publikováno v: The International Journal of Advanced Manufacturing Technology. 97:3251-3271

For the past recent years, Industry 4.0 (I40) also known as smart manufacturing, together with advanced manufacturing techniques, has been introduced in the industrial manufacturing sector to improve and stabilize processes. Nevertheless, practical a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aaaffba1b45b06b5bfc2013c739947de
https://doi.org/10.1007/s00170-018-2093-8

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