By Stephen B Johnson, Thomas Gormley, Visit Amazon's Seth Kessler Page, search results, Learn about Author Central, Seth Kessler, , Visit Amazon's Charles Mott Page, search results, Learn about Author Central, Charles Mott, , Ann Patterson-Hine, Karl Reichar
System overall healthiness administration: with Aerospace Applications offers the 1st entire reference textual content for process healthiness administration (SHM), the set of applied sciences and tactics used to enhance method dependability. Edited via a staff of engineers and experts with SHM layout, improvement, and learn adventure from NASA, undefined, and academia, each one heading up sections of their personal parts of craftsmanship and co-coordinating contributions from top specialists, the booklet collates jointly in a single textual content the cutting-edge in SHM examine, know-how, and purposes. it's been written basically as a reference textual content for practitioners, for these in comparable disciplines, and for graduate scholars in aerospace or platforms engineering.
There are many applied sciences interested by SHM and no unmarried individual could be a professional in all facets of the discipline.System overall healthiness administration: with Aerospace Applications offers an advent to the key applied sciences, matters, and references in those disparate yet similar SHM components. given that SHM has advanced so much quickly in aerospace, some of the purposes defined during this e-book are taken basically from the aerospace undefined. besides the fact that, the theories, ideas, and applied sciences mentioned are appropriate to many engineering disciplines and alertness areas.
Readers will locate sections at the uncomplicated theories and ideas of SHM, the way it is utilized within the process existence cycle (architecture, layout, verification and validation, etc.), an important tools used (reliability, caliber coverage, diagnostics, prognostics, etc.), and the way SHM is utilized in operations (commercial airplane, release operations, logistics, etc.), to subsystems (electrical strength, constructions, flight controls, etc.) and to process purposes (robotic spacecraft, tactical missiles, rotorcraft, etc.).
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Extra resources for System Health Management: with Aerospace Applications
A fundamental limitation on any system design is the proper division of the system into cognitively comprehensible pieces. This is a key facet of systems engineering, though it is not generally expressed in this manner (Johnson, 2003). The inability of humans to understand their creations has a speciﬁc implication for SHM, which is that SHM engineers must assume that the system has behaviors that nobody understands or expects to occur. Since they are not expected, they are assumed improbable, but logic requires that these be more probable than the usual assumption of “so improbable as to ignore,” and history indicates that it is nearly certain that some of these will manifest themselves during system operation.
Two prominent examples of the second case are from the Space Shuttle Program. 4 While both of these cases led to tragedies, the fact remains that, for complex systems, there are many behaviors that prior to operations are considered anomalies and/or failures, but are reclassiﬁed as normal once ﬂight experience has been acquired and the anomalies and failures are investigated. The issue is not whether classiﬁcation occurs – it does, all the time – but rather if it is done correctly. The basis for reclassiﬁcation is most often the determination of the cause of the off-nominal state.
Consider a loss of propellant failure scenario in the cruise phase of a planetary probe. The effects of the propellant loss may not be ultimately manifested for months or years when the vehicle must perform orbit operations to gather science data. ” When several CFEs occur for a given fault, then the CFE of relevance is the one to which the failure effects propagate soonest. Both the failure effect propagation times and FM loop latencies are complicated by the fact that many of the individual times are statistical in nature, when assessed during the design phase before any speciﬁc failure has occurred.
System Health Management: with Aerospace Applications by Stephen B Johnson, Thomas Gormley, Visit Amazon's Seth Kessler Page, search results, Learn about Author Central, Seth Kessler, , Visit Amazon's Charles Mott Page, search results, Learn about Author Central, Charles Mott, , Ann Patterson-Hine, Karl Reichar