Implementation strategy for AI-ESTATE compliance in the Remote Diagnosis Server (RDS) framework

The main objective of the paper is to outline, in detail, the implementation strategy and process of IEEE Standard 1232, Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE) compliance of the product suite from Qualtech Systems, Inc., while maintaining the product suite´s existing mechanism of information interchange and service specifications. The product suite includes Testability Engineering and Maintenance Systems (TEAMS)-the diagnostic model development system, Remote Diagnostic Server (RDS)-a framework for distributed remote diagnosis using QSI´s runtime diagnostic reasoners, and TEAMS-Knowledge Base (TEAMS-KB)-database tool for model management and data collection. As a key factor in enabling AI-ESTATE compliance in our runtime environment, namely RDS, we envisage encapsulating the AI-ESTATE service format in the RDS communication protocol packet. Since all AI-ESTATE services are represented as part of an information model defined in EXPRESS language, and does follow a textual services-and-attributes format without specifying an underlying implementation technology, we envision a relatively straight-forward encapsulation of both types of AI-ESTATE services, namely Model Management and Reasoner Manipulation, within the RDS protocol. This solution allows both AI-ESTATE compliant and non AI-ESTATE based diagnostic reasoners to provide their services using the same protocol and hence service their respective clients within the RDS framework