Download Data-Driven Technology for Engineering Systems Health by Gang Niu PDF

By Gang Niu

This publication introduces condition-based upkeep (CBM)/data-driven prognostics and health and wellbeing administration (PHM) intimately, first explaining the PHM layout procedure from a structures engineering viewpoint, then summarizing and elaborating at the data-driven technique for function development, in addition to feature-based fault analysis and analysis. The booklet contains a wealth of illustrations and tables to aid clarify the algorithms, in addition to sensible examples displaying tips to use this software to resolve events for which analytic suggestions are poorly perfect. It equips readers to use the strategies mentioned so one can learn and clear up various difficulties in PHM process layout, characteristic building, fault analysis and prognosis.

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Extra resources for Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions

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Aerospace systems, software, and nuclear power plants, for example, have different approaches and methodologies for system design. The common factor is the goal of designing the product to meet the established systems operational requirements. From the SHM standpoint, however, during the corresponding system/functional analysis stage, engineers and system analysts perform detailed 24 2 Design Approach for Systems Health Management modeling and analyses that support the system designers’ requirements and concepts through an integrated approach to system condition monitoring, failure prediction, detection and isolation, and correlation of system health effects across hierarchical system boundaries.

Minimizing maintenance costs. 5 Fault Diagnosis Framework A general fault diagnosis can be performed using residual signal, and this technique is depicted in Fig. 2. Residual signal is a signal that represents a deviation from standard operating conditions which is generated by comparing, for example, a model output with the actual system output. Based on this signal, one makes decision about the operating condition of the machinery. The other techniques for fault detection are model-based and data-driven, as shown in Fig.

During this phase, supplier requirements may be further tailored as necessary to capture system technical details and programmatic constraints. The RFP typically includes formal procurement documents such as performance specifications, statements of work, supplier data list, and bidder’s instructions. This information is distributed to prospective suppliers, who then submit proposals. During the source selection process, these items may be further tailored to each potential supplier based on how they propose to do business.

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