Results 251 to 260 of about 1,148,009 (306)

Integrated techno-enviroeconomic and life-cycle assessment of a solar-green hydrogen hybrid system with industrial wastewater reuse. [PDF]

Sci Rep
Raja IB, Ahmad Y, Feroze T, Choudhry MI, Usman M, Genc B.   +5 more
europepmc   +1 more source

Hybrid HHO-WHO Optimized Transformer-GRU Model for Advanced Failure Prediction in Industrial Machinery and Engines. [PDF]

Sensors (Basel)
Ali AR, Kamal H.
europepmc   +1 more source

Microalgae Harvesting Using Ceramic Membranes: Semi-Industrial Scale Study. [PDF]

Membranes (Basel)
Ragueneau S, Cordier C, Lange A, Torres L, Moulin P.   +4 more
europepmc   +1 more source

A Metric-Driven Evaluation Framework for Remaining Useful Life Prognosis with Quantified Uncertainty. [PDF]

Sensors (Basel)
Vashishtha G, Chauhan S, Ertarğın M.
europepmc   +1 more source

Design of a mixed reality-based digital twin human-machine interaction system for special working conditions. [PDF]

Front Robot AI
Li S, Hu Y, Li H, Xu J, Li M, Zhang Y, Ren Q.   +6 more
europepmc   +1 more source

Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks. [PDF]

PLoS One
Laib A, Ouagueni F, Herizi A, Djeriou S, Ahmed H, Chedjara Z, Dahmane S.   +6 more
europepmc   +1 more source

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Software maintenance—an industrial experience

Journal of Software Maintenance: Research and Practice, 1995
AbstractThis paper gives an overview of the software maintenance process of Hitachi Software Engineering (HSK) Co., Ltd in Japan‐including its success and failure cases. It discusses HSK's software processes, issues, use of specific tools and techniques such as IMOZU diagrams, and approaches in solving problems.
Akira K. Onoma, Wei-Tek Tsai, Fumihiro Tsunoda, Hiroshi Suganuma, Satish Subramanian   +4 more
openaire   +1 more source

Wearable Solution for Industrial Maintenance

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015
Wearable technology, such as Google Glass, offers potential benefits to engineers in industrial settings. We designed and developed a wearable solution for industrial maintenance, which 1) provides workflow guidance to the user, 2) supports hands-free operation, 3) allows the users to focus on their work, and 4) enables an efficient way for ...
Xianjun Sam Zheng, Patrik Matos da Silva, Cédric Foucault, Siddharth Dasari, Meng Yuan, Stuart Goose   +5 more
openaire   +1 more source

Predictive Maintenance Analysis for Industries

2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
In this paper, we are focused on deriving conclusions from sensor parameter data that would enable the detection of potential faults and the prediction of failures. We used Random Forest, Decision Tree, Naive Bayes, Logistic Regression, Support Vector Machine, and Long Short-Term Memory models to predict faults for sensor data.
Sunetcioglu, Selin, Arsan, Taner, Arsan, Taner   +2 more
openaire   +1 more source