Abstract Calibration of field instruments—such as pressure transmitters, flow meters, temperature sensors, and vibration sensors—is essential for accurate measurements and safe industrial operations. In practice, calibration steps are embedded within governed method statements for assets like PLC/BMS panels, BTU meters...
Sarafudheen Muzaliamveettil Tharayil, Roaa Khalil, SaifUrRehman Maan et al.· 0 citations
Abstract Industrial maintenance is increasingly challenged by rare event failures and multi causal faults that traditional rule based or passive analytics fail to detect effectively. This paper presents an agentic AI framework for autonomous fault diagnosis and root cause analysis (RCA) in industrial maintenance enviro...
Sarafudheen Muzaliamveettil Tharayil, Dalia A. Albuqytah, Fuad Shalaan et al.· 0 citations
Abstract Large enterprise business intelligence (BI) systems have accumulated thousands of datasets, reports, and embedded transformation and presentation logic developed over decades using procedural programming languages and scripting. These systems support both extract-transform-load (ETL) operations and analytical...
Sarafudheen Muzaliamveettil Tharayil, Nouf F. Alzahrani, Bala Koppuravuri et al.· 0 citations
Abstract Large industrial organizations increasingly rely on psychometric assessment to support high-stakes workforce decisions across geo-graphically dispersed and safety-critical environments. Traditional assessment workflows, which depend heavily on manual scoring and expert psychological interpretation, face signif...
Arwa Alnajashi, Sarafudheen Muzaliamveettil Tharayil, Maria Alghamdi· 0 citations
Abstract This paper proposes a continual compositionality framework for adaptive artificial intelligence in digital oilfield operations. Conventional AI solutions in the oil and gas industry rely on static, monolithic models that degrade over time due to non-stationary production behavior, evolving reservoir conditions...
Dalia A. Albuqytah, Sarafudheen Muzaliamveettil Tharayil· 0 citations
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