Artificial Neural Diagnostics and Prognostics: Self-Soothing in Cognitive Systems
نویسندگان
چکیده
Self-diagnostics and prognostics in multi-agent processing systems is explored in the context of selfsoothing concepts in Neuropsychology. The use of emotional memory and autonomic nervous state recall can be used to provide contextual cognition for system-level diagnostic and prognostics in large-scale systems. The use of an Artificial Cognitive Neural Framework with intelligent information software agents can be utilized to emulate emotional learning to facilitate self-soothing, which equates to self healing in artificial neural systems. This paper describes the architecture and specifications of software agents that are used to provide self-soothing and self-healing constructs for intelligent systems (Crowder, 2006).
منابع مشابه
A Survey of Artificial Intelligence for Prognostics
Integrated Systems Health Management includes as key elements fault detection, fault diagnostics, and failure prognostics. Whereas fault detection and diagnostics have been the subject of considerable emphasis in the Artificial Intelligence (AI) community in the past, prognostics has not enjoyed the same attention. The reason for this lack of attention is in part because prognostics as a discip...
متن کاملOn Self-organising Diagnostics in Impact Sensing Networks
Structural health management (SHM) of safety-critical structures requires multiple capabilities: sensing, assessment, diagnostics, prognostics, repair, etc. This paper presents a capability for self-organising diagnosis by a group of autonomous sensing agents in a distributed sensing and processing SHM network. The diagnostics involves acoustic emission waves emitted as a result of a sudden rel...
متن کاملStatistical Aspects in Neural Network for the Purpose of Prognostics
Neural network (NN) is a representative data-driven method, which is one of prognostics approaches that is to predict future damage/degradation and the remaining useful life of in-service systems based on the damage data measured at previous usage conditions. Even though NN has a wide range of applications, there are a relatively small number of literature on prognostics compared to the usage i...
متن کاملDeveloping A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults
Telecommunication companies have received a great deal of research attention, which have many advantages such as low cost, higher qualification, simple installation and maintenance, and high reliability. However, the using of technical maintenance approaches in Telecommunication companies could improve system reliability and users' satisfaction from Asymmetric digital subscriber line (ADSL) ser...
متن کاملCurrent Issues in Vibration-Based Fault Diagnostics and Prognostics
Current issues in vibration-based fault diagnostics and prognostics are: (a) fault/damage identification; (b) localization; and (c) monitoring. The fault/damage identification and localization are needed for diagnostics. The monitoring allows observing the fault/damage progression in time. Based on monitoring, the prognostics of the moment of failure, and hence of the remaining life could be pe...
متن کامل