Abstract:The computing architecture of an Automated Maintenance Environment (AME) can foster or stunt the ability to employ smart maintenance practices. With software decision support technologies becoming more readily available, there is ample opportunity for diagnostic enhancement within AME's. Data analysis practices and informed decision support are enabled by an enhanced technical infrastructure, which includes data accessibility, common data formats, and sufficient computational capacity. This paper will explain … Show more
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