| 摘要 |
A system and method for facilitating welding system diagnostics is provided. The invention includes a welder, a local system, a remote system, and/or an alarm component. The invention further provides for receiving sensor input(s), performing test sequence(s) based, at least in part, upon the sensor input(s) and/or performing internal diagnostics. The invention further provides for determining a health status of the welder and communicating the health status of the welder to the local system, the remote system and/or the alarm component. The health status of the welder can include welder alarm(s) and/or fault(s). Information regarding the health status of the welder can be sent by telephone, voicemail, e-mail and/or beeper. The welder can communicate with the local system and/or remote system to schedule maintenance. The invention further provides for a expert component to facilitate welding diagnostics based, at least in part, upon the health status of the welder, welder data, an expert data store, a local service support data store, a remote expert data store and/or a remote service support data store. The expert component can employ various artificial intelligence technique(s) (e.g., Bayesian model, probability tree network, fuzzy logic and/or neural network) to facilitate welding diagnostics based, at least in part, upon the health status received from the welder. The expert component can adaptively modify its modeling technique(s) based upon historical success (e.g., learn from success of previous welding diagnostics). The invention further provides for the welder, local system and/or remote system to initiate corrective action, at least temporarily, based, at least in part, upon the health status of the welder.
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