Encouraging Safety 4.0 to enhance industrial culture: An extensive study of its technologies, roles, and challenges DOI Creative Commons

Abid Haleem,

Mohd Javaid, Ravi Pratap Singh

и другие.

Green Technologies and Sustainability, Год журнала: 2024, Номер unknown, С. 100158 - 100158

Опубликована: Дек. 1, 2024

Язык: Английский

Game-theoretic approach to cybersecurity risk assessment and protective strategy optimization in process industry production systems DOI
Feilong Zhang, Liangchao Chen,

Jianfeng Yang

и другие.

Computers & Chemical Engineering, Год журнала: 2025, Номер unknown, С. 109034 - 109034

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Real-time process safety and systems decision-making toward safe and smart chemical manufacturing DOI Creative Commons
Austin Braniff,

Sahithi Srijana Akundi,

Yuanxing Liu

и другие.

Digital Chemical Engineering, Год журнала: 2025, Номер unknown, С. 100227 - 100227

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Research progress on the artificial intelligence applications in food safety and quality management DOI

Wenbin Yu,

Zhiwei Ouyang,

Yufei Zhang

и другие.

Trends in Food Science & Technology, Год журнала: 2024, Номер unknown, С. 104855 - 104855

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2
A comprehensive fault detection and diagnosis method for chemical processes DOI
Silin Rao, Jingtao Wang

Chemical Engineering Science, Год журнала: 2024, Номер 300, С. 120565 - 120565

Опубликована: Авг. 5, 2024

Язык: Английский

Процитировано

1
Adaptive fault diagnosis for high-purity carbonate process based on unsupervised and transfer learning DOI

Huijun Shi,

Xiaolong Ge,

Botan Liu

и другие.

Chemical Engineering Science, Год журнала: 2024, Номер 300, С. 120631 - 120631

Опубликована: Авг. 17, 2024

Язык: Английский

Процитировано

1
A Real-Time Intelligent Valve Monitoring Approach through Cameras Based on Computer Vision Methods DOI Creative Commons
Zi‐Hui Zhang,

Qiyuan Zhou,

Heping Jin

и другие.

Sensors, Год журнала: 2024, Номер 24(16), С. 5337 - 5337

Опубликована: Авг. 18, 2024

Abnormal valve positions can lead to fluctuations in the process industry, potentially triggering serious accidents. For processes that frequently require operational switching, such as green chemical based on renewable energy or biotechnological fermentation processes, this issue becomes even more severe. Despite risk, many plants still rely manual inspections check status. The widespread use of cameras large now makes it feasible monitor through computer vision technology. This paper proposes a novel real-time monitoring approach detect abnormalities positions. Utilizing an improved network architecture YOLO V8, method performs detection and feature recognition. To address challenge small, relatively fixed-position valves images, coord attention module is introduced, embedding position information into channels enhancing accuracy rotation extraction. then calculated using algorithm with valve's center point bounding box coordinates, alarm for exceed pre-set threshold. generalization ability proposed are evaluated experiments three different types two industrial scenarios. results demonstrate meets robustness standards required applications.

Язык: Английский

Процитировано

1
Cyber-physical systems in chemical and energy processes DOI
Yuanxing Liu,

Sahithi Srijana Akundi,

Austin Braniff

и другие.

Methods in chemical process safety, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1
Toward sustainable process safety management 4.0 versus process safety management DOI
Shatrudhan Pandey, Abhishek Kumar Singh, Shreyanshu Parhi

и другие.

Process Safety Progress, Год журнала: 2024, Номер unknown

Опубликована: Дек. 25, 2024

Abstract Process safety management (PSM) in the transition toward sustainability has garnered increasing attention emerging era of Industry 5.0 (I5.0). This study provides an inclusive proposal for a sustainable process 4.0 (SPSM 4.0) framework, concentrating on its evolution, drivers, and comprehensive framework highlighting structures applications. The core values I5.0 (sustainability, human‐centricity, resilience) advanced technologies like artificial intelligence (AI), industrial Internet things (IIoT), cyber‐physical systems (CPS) are integrated with PSM system. SPSM aims to alter ecosystem through applications digital transformations at workplace by ensuring safety, well‐being employees assets while leveraging socioeconomic environmental concerns improved efficiency. proposed bridges gap between sustainability, which serves as foundation stone future guidelines targeted practitioners, policymakers, academicians. In addition, proposes umbrella paradigm integrating pillars landscape. Concluding, research focuses critical discussion decision support system operationalizing suggesting takeaways managers researchers.

Язык: Английский

Процитировано

0
Expert label for explainable fault diagnosis and for unknown fault generalization DOI
Silin Rao,

Lunrui Fan,

Jingtao Wang

и другие.

Chemical Engineering Science, Год журнала: 2024, Номер 301, С. 120699 - 120699

Опубликована: Сен. 10, 2024

Язык: Английский

Процитировано

0
Ethics in AI for energy systems safety DOI
Rajeevan Arunthavanathan, Zaman Sajid, Md. Tanjin Amin

и другие.

Methods in chemical process safety, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0