Page 76 - XXIV Konferencja Automatyków Rytro 2026
P. 76
Najdojrzalszy kierunek na najbliższe lata to więc nie „AI zamiast operatora”, lecz AI
wspierająca operatora i nadzorująca jakość krytycznych działań operatorskich. W takim modelu
człowiek pozostaje odpowiedzialnym uczestnikiem procesu, automatyka dostarcza twardych
danych i zabezpieczeń, a AI pomaga szybciej rozumieć sytuację. To połączenie może realnie
obniżyć ryzyko awarii - pod warunkiem, że zostanie wdrożone z inżynierską ostrożnością,
transparentnością i świadomością ograniczeń.
Literatura
Ezgi Gursel, Bhavya Reddy, Anahita Khojandi, Mahboubeh Madadi, Jamie Baalis Coble, Vivek Agarwal, Vaibhav Yadav,
Ronald L. Boring, Using artificial intelligence to detect human errors in nuclear power plants: A case in operation
and maintenance, Nuclear Engineering and Technology, Volume 55, Issue 2, 2023, Pages 603-622,
https://doi.org/10.1016/j.net.2022.10.032.
Ezgi Gursel, Mahboubeh Madadi, Jamie Baalis Coble, Vivek Agarwal, Vaibhav Yadav, Ronald L. Boring, Anahita
Khojandi, The role of AI in detecting and mitigating human errors in safety-critical industries: A review, Reliability
Engineering & System Safety, Volume 256, 2025, 110682, https://doi.org/10.1016/j.ress.2024.110682.
Esmaeil Zarei, Faisal Khan, Rouzbeh Abbassi, Importance of human reliability in process operation: A critical analysis,
Reliability Engineering & System Safety, Volume 211, 2021, 107607, https://doi.org/10.1016/j.ress.2021.107607.
Abu Hawwach M., Human errors in industrial operations and maintenance, Master thesis work, Malardalen
University, Sweden, 2021.
M. Blanke, M. Kinnaert, J. Lunze and M. Staroswiecki, Diagnosis and Fault-Tolerant Control, Springer-Verlag, 2004.
J. Korbicz, J.M. Kościelny, Z. Kowalczuk and W. Cholewa (eds), Fault Diagnosis: Models, artificial intelligence methods,
applications, Springer, 2004.
R. Isermann, Fault Diagnosis Systems. An Introduction from Fault Detection to Fault Tolerance, Springer, Berlin, 2006.
Weijun Li, Hui Li, Sai Gu, Tao Chen, Process fault diagnosis with model- and knowledge-based approaches: Advances
and opportunities, Control Engineering Practice, Volume 105, 2020, 104637,
https://doi.org/10.1016/j.conengprac.2020.104637.
Xiaotian Bi, Ruoshi Qin, Deyang Wu, Shaodong Zheng, Jinsong Zhao, One step forward for smart chemical process
fault detection and diagnosis, Computers & Chemical Engineering, Volume 164, 2022, 107884,
https://doi.org/10.1016/j.compchemeng.2022.107884.
Shuaiqi Yuan, Ming Yang, Genserik Reniers, Integrated process safety and process security risk assessment of
industrial cyber-physical systems in chemical plants, Computers in Industry, Volume 155, 2024, 104056,
https://doi.org/10.1016/j.compind.2023.104056.
Y. Hu, H. Li, H. Yang et al., Detecting stealthy attacks against industrial control systems based on residual skewness
analysis, Journal of Wireless Communications and Networking, 2019, 74, https://doi.org/10.1186/s13638-019-
1389-1.
David I. Urbina, Jairo A. Giraldo, Alvaro A. Cardenas, Nils Ole Tippenhauer, Junia Valente, Mustafa Faisal, Justin Ruths,
Richard Candell, Henrik Sandberg, Limiting the Impact of Stealthy Attacks on Industrial Control Systems, CCS
2016, Pages 1092-1105, https://doi.org/10.1145/2976749.2978388.
Mica R. Endsley, Supporting Human-AI Teams: Transparency, explainability, and situation awareness, Computers in
Human Behavior, 2023.
Mina Saghafian i in., Understanding automation transparency and its adaptive design implications in safety-critical
systems, Safety Science, 2025.
Qi Zhang i in., LLM-TSFD: An industrial time series human-in-the-loop fault diagnosis method based on a large
language model, Expert Systems with Applications, 2025.
Shuwen Zheng i in., Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex
systems, Reliability Engineering & System Safety, 2024.
Laifa Tao i in., LLM-based framework for bearing fault diagnosis, Mechanical Systems and Signal Processing, 2025.
Paweł Wnuk, Diagnostyka operatora i AI str. 12
XXIV KONFERENCJA AUTOMATYKÓW RYTRO 2026 POLITECHNIKA WARSZAWSKA

