Crack Orientation and Depth Estimation in a Low-Pressure Turbine Disc Using a Phased Array Ultrasonic Transducer and an Artificial Neural Network

Crack Orientation and Depth Estimation in a Low-Pressure Turbine Disc Using a Phased Array Ultrasonic Transducer and an Artificial Neural Network

Stress corrosion cracks (SCC) in low-pressure steam turbine discs are serious hidden dangers to production safety in the power plants, and knowing the orientation and depth of the initial cracks is essential for the evaluation of the crack growth rate, propagation direction and working life of the t...

Full description

Bibliographic Details
Main Authors: Wenshuang Chang, Shijiu Jin, Shili Chen, Xiaoxia Yang
Format: Article
Language:English
Published: MDPI AG 2013-09-01
Series:Sensors
Subjects:
phased array ultrasonic transducer
artificial neural networks
low-pressure turbine disc
crack orientation
crack depth
RBF
Online Access:http://www.mdpi.com/1424-8220/13/9/12375

Similar Items

Similar Items