Inspection and Monitoring for Prediction of Asset Condition Applied for Critical Equipment

Speaker:
Wibert, Roger; Kiwa Inspecta; Sweden

Authors:
Dahlberg, M.; Kiwa Inspecta Technology AB; Sweden
Gunnars, J.; Kiwa Inspecta Technology AB; Sweden
Peterson, R.; Kiwa Inspecta Technology AB; Sweden
Wibert, R.; Kiwa Inspecta Technology AB; Sweden

ID: ECNDT-0528-2018
Session: Structural Health Monitoring 2
Room: H1
Date: 2018-06-12
Time: 15:40 - 16:00

Ageing process plants and infrastructures results in degradation and wear which leads to expensive investments, increasing probability of failure and a demand for adapted maintenance programs. New opportunities are available through continuous monitoring of real time data since this is readily available by standardized data transfer and new improved sensors. In addition development of methods for non-destructive testing enables detection of smaller defects and also on-line testing during operation. However, relevant conclusions from the gathered data is still challenging. Improved prognosis for component life time can be achieved by using combined input from monitoring and NDT. This enables more optimized maintenance activities. The analyses for life time prognosis are based on physical models for the damage and failure evolution, knowledge of degradation mechanisms, and methods for numerical analysis of temperature, flow, stress and strain. Methods for treatment of uncertainties are important for relevant prognoses. Careful adaption of monitoring and NDT detection capabilities to the degradation at hand is crucial. Findings are presented from implementation in process plants and infrastructures.