Titlebook: Condition Monitoring Algorithms in MATLAB®; Adam Jablonski Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive lice

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Signal Processing Algorithms,ritten in MATLAB.. Each technique is accompanied by description, exemplary figure, full code, and comments. Codes cover windowing, compensation, zero-padding, filtering, resampling, integration, envelope analysis, Time-Synchronous Averaging (TSA), and phase marker processing.

Acquired

CON

烤架

Simulating Long-Term Machine Fault Development,ure Development Function (FDF). This Chapter shows how to generate data corresponding to eight different modes (i.e. clearly separated technical condition state) of a rotary machinery. Introduced faults include shaft imbalance, gearbox degradation, and rolling-element bearing failure.

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亵渎

VOC

Development of Interface for Direct Data Access (DDA),monitoring system in MATLAB.. The procedure uses .NET libraries, and it is described step-by-step. A special attention is given to internal MATLAB. wrapping of such functions, which significantly simplify codes. Finally, this Chapter illustrates selected possible scenarios of DDA implementation.

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Proposed Approach: Transactional Agents,assessment methods. Scalar indicators covered in this Chapter range from basic statistical indicators to conceptual advanced markers. Presented figures range from basic time or frequency-domain plots to recent, advanced 3D maps.