Computer Aided Non Destructive Inspection and Disposition (CANDID): Overview and Benefits of Automating NDI of Rotorcraft

Boeing-Mesa is developing a system which will automate the non destructive inspection (NDI) process. The system will allow a maintainer with minimal training (40 hours) to gather reliable NDI data for evaluation, classification and automated defect detection. The system is called Computer Aided Non Destructive Inspection and Disposition (CANDID). CANDID utilizes neural networks and an NDI data acquisition system to inspect, automatically identify and classify defects in composite and metallic aircraft structures. By automating the NDI process, maintainers will be enabled to easily perform inspections previously performed by highly skilled NDI technicians. Successful implementation of this field level NDI inspection capability will lead to improvements in aircraft operational availability (Ao), and reduce operation and support (O&S) costs. This paper provides an overview of the CANDID concept, potential benefits to be gained through successful implementation, and a general description of CANDID technology.