| A review on Bayesian modeling approach to quantify failure risk assessment of oil and gas pipelines due to corrosion TLO Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Jundika Candra Kurnia ... International Journal of Pressure Vessels and Piping 200 (11:2022), 104841, 2022 | 20 | 2022 |
| Time series method for machine performance prediction using condition monitoring data U Sarwar, MB Muhammad, ZAA Karim 2014 International Conference on Computer, Communications, and Control …, 2014 | 12 | 2014 |
| The current status of lean manufacturing in small, medium and large scale manufacturing companies of Karachi, Pakistan RK Wassan, MT Khan, GS Chandio, Y Haider, U Sarwar, A Akbar, ... Journal of Applied Engineering Science 20 (3), 707-715, 2022 | 5 | 2022 |
| Fault diagnostic model for rotating machinery based on principal component analysis and neural network MB Muhammad, U Sarwar, MR Tahan, ZAA Karim ARPN Journal of Engineering and Applied Sciences 11 (24), 14327-14331, 2016 | 5 | 2016 |
| Fuzzy logic-based quantitative risk assessment model for hse in oil and gas industry S Kaka, H Hussin, R Khan, A Akbar, U Sarwar, J Ansari Universiti Teknologi PETRONAS, 2022 | 3 | 2022 |
| Intelligent fault diagnostic model for rotating machinery MB Muhammad, U Sarwar, M Tahan, ZAA Karim 2017 IEEE International Conference on Industrial Engineering and Engineering …, 2017 | 2 | 2017 |
| Practical application of six SIGMA methodology to reduce defects in a Pakistani manufacturing company RK Wassan, ZH Hulio, MA Gopang, US Memon, A Akbar, S Kaka Journal of Applied Engineering Science 20 (2), 552-561, 2022 | 1 | 2022 |
| Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine M Tahan, U Sarwar, M Muhammad, ZA Abdul Karim ARPN Journal of Engineering and Applied Sciences 11 (24), 14269-14274, 2016 | 1 | 2016 |
| Enhancing pipeline integrity: a comprehensive review of deep learning-enabled finite element analysis for stress corrosion cracking prediction U Sarwar, AA Mokhtar, M Muhammad, RK Wassan, AA Soomro, ... Engineering Applications of Computational Fluid Mechanics 18 (1), 2302906, 2024 | | 2024 |
| Hybrid intelligence for enhanced fault detection and diagnosis for industrial gas turbine engine U Sarwar, M Muhammad, AA Mokhtar, R Khan, P Behrani, S Kaka Results in Engineering, 101841, 2024 | | 2024 |
| Effect of Precarious Work on Workplace Wellbeing and Musculoskeletal Disorders: A Systematic Review MHS Ahmad Shahrul Nizam Isha, Paras Behrani, Umair Sarwar International Conference on Economy, Management, and Business (IC-EMBus) 1 …, 2023 | | 2023 |
| SETUP TIME REDUCTION USING SINGLE MINUTE EXCHANGE OF DIE IN TEXTILE INDUSTRY ZHH RANO KHAN WASSAN, JANSHER ANSARI, ALI AKBAR, SHUAIB KAKA, UMAIR SARWAR Journal of Tianjin University Science and Technology 55 (07:2022), 145-152, 2022 | | 2022 |
| DEVELOPMENT OF A NEURAL NETWORK MODEL FOR PREDICTION OF CUI CORROSION RATE USING FIELD DATA IN A MARINE ENVIRONMENT TR M Mohsin Khan, Ainul Akmar Mokhtar, Umair Sarwar, Hilmi Hussin, Shuaib Kaka The First International Conference on Industrial Engineering and Management …, 2017 | | 2017 |
| FAULT DIAGNOSIS MODEL FOR ROTATING MACHINERY BASED ON MULTIPLE CONDITION MONITORING DATA SOURCES U SARWAR Universiti Teknologi PETRONAS, 2015 | | 2015 |
| A COMPREHENSIVE ANALYSIS OF RISK ASSESSMENT METHODS IN THE OIL AND GAS INDUSTRY: A REVIEW S KAKA, SI MARI, SM PATHAN, R KHAN, U SARWAR, ALI AKBAR | | |
| ENHANCING RISK ASSESSMENT IN THE OIL AND GAS INDUSTRY: A COMPARATIVE ANALYSIS OF MAMDANI AND SUGENO METHODOLOGIES S KAKA, D KHAN, ALI AKBAR, S ALI, J ANSARI, U SARWAR, R KHAN | | |
Masdi MuhammadUniversiti Teknologi PETRONASVerifierad e-postadress på utp.edu.my
