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Designing for Serviceability at GE Healthcare

. Need to convert Engineering data into Service Knowledge. Capture failure modes in a FMEAProvide many status indicatorsDevelop specialized diagnostic testsReceive limited feedback on the Service effectiveness. Design Engineers. Identify the critical indicators - Large amount of machine dataDiagnose faultsNot all failures isolatableMultiple diagnostic tools.

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Designing for Serviceability at GE Healthcare

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    2. Dedicate a page to “what is a causality engine?” … see next page … foundation element to tie DFR together with DFS … DFM Based on everything that we know … this is what will happen nextDedicate a page to “what is a causality engine?” … see next page … foundation element to tie DFR together with DFS … DFM Based on everything that we know … this is what will happen next

    4. DFS - Technology Move this page in front of page 8??? Move this page in front of page 8???

    5. Special Buttons: Use of the buttons is optional. ‘Fix Formats’ - Formats the data. ‘Restore Comments’ - Restores header comments. ‘Valid for Upload’ - Validates the data. ‘Sort - Sorts the data by Item, Failure Mode and Indicator Name. Special Buttons: Use of the buttons is optional. ‘Fix Formats’ - Formats the data. ‘Restore Comments’ - Restores header comments. ‘Valid for Upload’ - Validates the data. ‘Sort - Sorts the data by Item, Failure Mode and Indicator Name.

    10. Get the example in thereGet the example in there

    13. Two aspects of the tool: Authoring re-enforces what was discussed in October. Challenge to get consistency across the business. Diag. Process – We want to automate the “blue bubble”Two aspects of the tool: Authoring re-enforces what was discussed in October. Challenge to get consistency across the business. Diag. Process – We want to automate the “blue bubble”

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