will continue to drive the shift from reactive to pro- active maintenance. Especially in relation to falling costs for sensor systems, future solutions will not only be available or profitable for the most critical flanges and pipes, but for a wide range of equipment. References 1. Adegboye, Mutiu Adesina, Wai-Keung Fung, and Aditya Karnik. "Recent advances in pipeline monitoring and oil leakage detection technologies: Principles and approaches." Sensors 19.11 (2019): 2548. 2. Agbakwuru, Jasper. "Pipeline potential leak detection technologies: assessment and perspective in the Nigeria Niger Delta region." Journal of Environmental Protection 2.08 (2011): 1055. 3. Bolotina, Irina, et al. "Application of phased antenna arrays for pipeline leak detec- tion." Journal of Petroleum Science and Engineering 161 (2018): 497-505. 4. Oyedeko, K. F. K., and H. A. Balogun. "Modeling and simulation of a leak detection for oil and gas pipelines via transient model: A case study of the niger delta." Journal of Energy Technologies and Policy 5.1 (2015): 16-27. 5. Mykoniatis, Konstantinos. "A real-time condition monitoring and maintenance management system for low voltage industrial motors using internet-of-things." Procedia Manufacturing 42 (2020): 450-456. 6. Mujica, Luis Eduardo, Magda Ruiz, and Juan Manuel Mejía. "Leak detection and loca- lization on hydrocarbon transportation lines by combining real-time transient model and multivariate statistical analysis." Struct. Hlth. Monit 1.2 (2015): 2350-2357. Iwaszenko, Sebastian, et al. "Detection of Natural Gas Leakages Using a Laser-Based Methane Sensor and UAV." Remote Sensing 13.3 (2021): 510. 7. 8. MacCarthy, G. A. K., et al. "Analyzing Domino Effects Occurring on Gasoline Storage Tanks at the Bulk Oil Storage and Transportation (BOST) Depot." Russian Journal of Construction Science and Technology 5.2 (2019). 9. Marsh LLC. “100 Largest Losses in the Hydrocarbon Industry, 1974 - 2019”. Online source available at: https://www.marsh.com/content/dam/marsh/Documents/PDF/ UK-en/100-largest-losses-in-hydrocarbon-history.pdf 10. Wang, Jinjiang, et al. "A new paradigm of cloud-based predictive maintenance for in- telligent manufacturing." Journal of Intelligent Manufacturing 28.5 (2017): 1125-1137. 11. [11] Hussels, Maria-Teresa, et al. "AGIFAMOR—Application of distributed acoustic and fibre optic sensors for continuous monitoring of pipes." Proceedings of the 12th Pipeline Technology Conference, Berlin, Germany. 2017. 12. Boaz, Lawrence, Shubi Kaijage, and Ramadhani Sinde. "An overview of pipeline leak detection and location systems." Proceedings of the 2nd Pan African International Conference on Science, Computing and Telecommunications (PACT 2014). IEEE, 2014. 13. Chis, Timur. "Pipeline leak detection techniques." arXiv preprint arXiv:0903.4283 (2009). 14. Fiedler, Jonathan. "An overview of pipeline leak detection technologies." American School of Gas Measurement Technology (ASGMT), Peabody, MA, US (2014). 15. Reber, Konrad. “Eddy Current Testing in Pipeline Inspection.” 10.1002/9781119019213. ch36. (2015). 16. Atherton, David. (1989). Magnetic inspection is key to ensuring safe pipelines. Oil and Gas Journal; (USA). 87:32. 10.1016/S0963-8695(97)80905-X. 17. Lee, Jinyi, Lee, Hoyong and Berkache, Azouaou: Novel Approaches for Nondestructive Testing and Evaluation. 10.3390/books978-3-0365-3600-2 (2022). 18. Liang, Yabin, et al. "Loosening monitoring of a threaded pipe connection using the electro-mechanical impedance technique—Experimental and numerical studies." Sensors 18.11 (2018): 3699. 19. Thiberville, Caitlyn et.al. “Modeling of Smart Pigging for Pipeline Leak Detection. SPE Production & Operations”. 35. 10.2118/198648-PA. (2020). Pipeline Technology Journal - 4/2022 RESEARCH • DEVELOPMENT • TECHNOLOGY 23 Authors Jana Frank Henkel AG & Co. KGaA Country Business Head Singapore & Malaysia Jana.Frank@henkel.com Michael Honné Henkel AG & Co. KGaA Head of MRO 4.0 Michael.Honne@henkel.com Kourosh Bahrami Henkel AG & Co. KGaA Corporate Vice President Henkel – Adhesive Technologies Kourosh.Bahrami@henkel.com Jens Schoene Henkel AG & Co. KGaA Global Technical Customer Service Management Jens.Schoene@henkel.com