George D. Hadden

Learn More
System Health Management (SHM) is an example of the types of challenging applications facing embedding high-performance computing environments. SHM systems monitor real-time sensors to determine system health and performance. Performance, economics, and safety are all at stake in SHM, and the emphasis on health management technology is motivated by all(More)
Honeywell and its teammates (PredictDLI, Knowledge Partners of Minnesota, the Georgia Institute of Technology, York International, and WM Engineering) have developed a distributed shipboard system to perform diagnostics and prognostics on mechanical equipment (e.g. engines, generators, and chilled water systems) for the Office of Naval Research (ONR). This(More)
Condition based maintenance (CBM) seeks to generate a design for a new ship wide CMB system that performs diagnoses and failure prediction on Navy shipboard machinery. Eventually, a variety of shipboard systems will be instrumented with embedded high-performance processors to monitor equipment performance, diagnosis failures, and predict anticipated(More)
Augmented Transition Networks (ATNs) have become a popular and effective tool for constructing natural language understanding systems. Our own system, PLANES [Waltz 76], is based on a large “semantic grammar” which is implemented as an ATN network. In developing our system, we were frustrated by numerous problems and shortcomings in the basic ATN formalism.(More)
This paper describes the Maintenance and Diagnostic System (MDS) that is being developed at Honeywell* to enhance the Fault Detection Isolation and Recovery system (FDIR) for the Attitude Determination and Control System on Space Station Freedom. The MDS demonstrates ways that AI-based techniques can be used to improve the maintainability and safety of the(More)
Online fault diagnosis is critical for detecting the onset and hence the mitigation of adverse events that arise in complex systems, such as aircraft and industrial processes. A typical fault diagnosis system consists of: (1) a reference model that provides a mathematical representation for various diagnostic monitors that provide partial evidence towards(More)
This paper outlines a benchmarking approach for evaluating the diagnostic and prognostic capabilities of the Vehicle Integrated Prognostic Reasoner (VIPR), a vehicle-level reasoner and an architecture which aims to detect, diagnose, and predict adverse events during the flight of an aircraft. A number of diagnostic and prognostic metrics exist, but these(More)
This paper describes an architecture, IFADS (Integrated Factory-based Automatic Diagnostic System), that is well suited for performing diagnosis of electronic assemblies that fail factory-based quality assurance testing. Diagnostics in a manufacturing setting differ in several ways from that in an end-user setting. These differences are noted and the(More)
  • 1