The overall architecture of the prognostic system Modern industry is concerned about extending the lifetime of its critical processes and maintaining them only when required. Significant aspects of these trends include the ability to diagnose impending failures, prognose the remaining useful lifetime of the process and schedule maintenance operations so that uptime is maximized.
Prognosis is probably the most difficult of the three issues leading to condition-based maintenance.
DWNN incorporate temporal information and storage capacity into their functionality so that they can predict into the future, carrying out fault prognostic tasks.