Abstract
It is very important to detect leakage and flaws on pipelines without hampering pipeline operations by data processing and robotic technology. In this paper, two topics are described, a leak detection method by intensive computer data processing and a flaw detection method by a mobile inspection robot. (i) A new method for remote leak detection and localization in a pipeline system is presented by applying the prewhitening filter method formulated by autoregressive (AR) modelling to ultra acoustic signals, which are obtained from the acoustic emission (AE) sensors installed on the pipeline at certain intervals. (ii) A fully automatic robot for pipeline inspection is built to detect flaws and defects. The robot can move over the outside along pipelines with inspection sensors and has varied mobility and maneuverability, such as passing over flanges and so on. It can also detect small defects and flaws by scanning the surface of pipes.
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