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Balance Diagnostic Design to Optimize Sustainment Alternatives

Incorporate Multiple Technologies into a Single System Assessment

There are two (2) general approaches to capturing the IVHM (or “ISHM”) design within the eXpress environment – either using a “Top-Down” or a “Bottom-Up” approach. In either approach, capturing the IVHM design in eXpress will enable the IVHM to be influenced for more inclusive and holistic “integrated systems” diagnostic capabilities that will continue to benefit both the operational run-time diagnostic capability of the IVHM and then continue into any off-board diagnostic paradigm throughout the sustainment lifecycle(s).

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Synchronizing Reliability and Diagnostic Engineering for IVHM

When designing for any diagnostic paradigm or any combinations of diagnostic paradigms, or most specifically when coordinating on-board operational run-time diagnostics (typically performed by Health Monitoring Systems and Health Management Systems by using on-board BIT sensing technologies) with off-board maintenance activities, the eXpress approach will facilitate the coordination, integration and cross-validation of the design assessment products from each design discipline.

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Impact of BIT on HM – ISHM, IVHM and PHM

The eXpress diagnostic modeling environment is essential for determining the diagnostic designs’ ability to “Uniquely Isolate” any failures (or loss of function). This capability, designated as “FUI” in eXpress, enables the assessment to determine if the design is able to isolate between the sensor and any of the functions contained on the object that is being sensed.

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BIT Optimization – Validation- Integration

Traditionally, BIT has been assigned to “test” the presence of the proper functioning at various “testing locations or points”. Such test points have often been selected by the designer or the manufacturer based upon their specific expertise or available resources. If a more careful effort was to be required, then the determining of the BIT would require additional tools, technologies, expertise and then additional resources – meaning more cost and time.

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Designing for IVHM or any On-Board Health Management

The eXpress diagnostic modeling environment is essential for determining the diagnostic designs’ ability to “Uniquely Isolate” any failures (or loss of function). This capability, designated as “FUI” in eXpress, enables the assessment to determine if the design is able to isolate between the sensor and any of the functions contained on the object that is being sensed.

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Predictive Maintenance – Assessment and Alternatives

Predictive Maintenance (PM or “PdM”), in referring to the optimizing of the sustainment approach for a fielded asset, is attempting to facilitate and provide the means to detect and rectify failures of an equipment or system in advance of the failure(s). As such, the approach may consider the development or reliance upon a variety of specialized sensors or maintenance method(s). But determining the diagnostic or prognostic effectiveness of the sensors (BIT location, coverage, diagnostic validation, etc.) is the first step in determining the effectiveness of the sustainment capability for the fielded asset….

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Data Interoperability throughout Design Development and Sustainment Lifecycle(s)

DSI has focused on design data interoperability for more than thirty years. We realized that, should programs or organizations make an investment into the creation of any data artifacts during the design development or the design sustainment lifecycle(s) they’re covered in either or both lifecycle(s)!

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Evaluating PHM as an Integrated Systems Capability

In recent years, military and aerospace programs have dedicated significant resources toward research in prognostics—developing sensors and measurements that they hope will not only improve system readiness, but also reduce the costs of product sustainment. Designed to identify incipient failures at the lowest levels of the system architecture, prognostic sensors are typically the end result of extremely detailed, yet extremely localized, physics-of-failure analyses.

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