Unsupervised deep neural network considering the uncertainties effect in pipeline condition monitoring using guided ultrasonic waves

• Main Authors: Chen, Yon Kong, Bakhary, Norhisham, Padil, Khairul Hazman, Shamsudin, Mohd. Fairuz
• Format: Conference or Workshop Item
• Published: 2023
• Subjects: TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/108269/; http://dx.doi.org/10.1007/978-981-99-1988-8_2
• Institution: Universiti Teknologi Malaysia

Pipeline condition monitoring is vital to ensure the safety of petrochemical pipeline systems. The Guided Ultrasonic Waves (GUW) method has been increasingly applied in pipeline condition monitoring as it provides reliable and accurate pipeline damage information. However, the existence of uncertain...