Solutions
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).
Read MoreSynchronizing 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.
Read MoreImpact 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.
Read MoreBIT 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.
Read MoreDesigning 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.
Read MorePredictive 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….
Read MoreData 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)!
Read MoreEvaluating 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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