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Determine the Impact of Diagnostics upon Reliability

Diagnostic-Informed FTA Assessments

The Fault Tree Analysis, or “FTA”, is a top-down, analysis of failure propagation. It employs a deductive analysis of the failures to determine which combination of lower-level, or “primary” failures can combine to cause a “critical event” or an “undesired state” of the fielded system. It is used particularly for safety and risk assessment for air-worthiness certification and in other safety-critical systems, products or industries. In design development, the FTA analysis serves as an instrument to provide feedback of areas in the design that need to be improved during design development, whether, for example, to add design redundancy or improve component/subsystem reliability.

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Risk Associated with Sub-Optimal Diagnostics

The definition of a False Alarm, unfortunately is dependent upon your specific perspective. In a very general sense, it is the improper reporting of a failure to the operator of the equipment or system. In addressing the universe of possibilities that could compromise the proper reporting of a failure, DSI has conquered one specific cause and the primary contributor to the experience of False Alarms, which is the “Diagnostic-Induced” False Alarms, or more simply “Diagnostic False Alarms”.

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Evaluate PHM as an Integrated System 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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Data Interoperability Throughout Design Development

In the Design Development paradigm, eXpress has a robust and unique capability that permits it to exchange component attributes, functionality and testing data effectively through its robust and unmatched diagnostic design data capture, organizing and structuring capabilities.

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Data Interoperability Targeting Sustainment Implementations

Once captured in eXpress, many lower level designs can be fully brought right into the test environment from the design. Whether this is a capability that is suited for the lab environment to work with common Automatic Test Equipment or later in the field to maximize operational objectives, ISDD leverage data interoperability for test and far beyond!

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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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