Automated in-service damage identification

Continuous maintenance and the future – Foundations and technological challenges

“…24 also presents a mapping between the key types of mechanical degradations in different industrial sectors and corresponding commonly used NDT techniques to identify them based on literature review [88,92,93,136,162]. Mehnen et al [111] has presented the suitability of pulsed thermography for automation to improve repeatability of the assessment and increased efficiency. Thermography is more effective for composite part degradation assessment [105].…”

“…Thermography is mostly used in studying thermal behaviour of manufacturing operations. Mehnen et al [111] presents the use of thermography to quantitatively measure the in-service degradation assessment for aerospace components (Fig. 22).…”

“…There are attempts to automate the repair process as well to improve efficiency [174] and reduce human error. Part of the composite parts repair process is to assess the damage more accurately (moving from qualitative assessment to quantitative assessment) using advanced techniques like active thermography, digital shearography and laser ultrasonics [87,111].…”

“…Model based maintenance has also supported the planning and prognostics research along with a life cycle management perspective [31,77,163,164]. In recent years, study of degradation, automation of maintenance-repair-overhaul (MRO) and virtual reality applications to support maintenance has gained significant interest [78,111,115,122,129,156]. This keynote focuses on the recent technological knowledge challenges at the component and system level and presents major research trends inside and outside the CIRP community.…”

Cloud-enabled prognosis for manufacturing

“…Fault (or defect) diagnosis is a critical part of this process that links the identified abnormal behaviors in a machine to possible root causes [272,50,268]. Maintenance actions may then be performed based on the identified failure type and underlying mechanism [135]. With the advancement of predictive science, prognosis has been increasingly recognized as a valuable complement to CBM in manufacturing.…”