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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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https://doi.org/10.1007/3-540-45354-7n them into a single synthetic vibration time waveform. The model presented in this Chapter uses separate synthetic speed profile data, selected aspects of frequency response function, and synthetic structural noise. As a result, in this model, each pulse response of modeled REB (for each ball passing under the sensor) is slightly different.
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Overview of Transaction Processing,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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Insights and Prerequisites for Lean Office,s methods include statistical techniques, narrowband spectral analysis, spectral comparison, and 3-dimensional data visualization. Each analysis is used to detect shaft imbalance, gearbox degradation, and REB inner race failure.
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The Office-Adapted Lean Tool System, (CMS) into one platform. It illustrates how MATLAB. data could flow in and out in connection with a commercial system. For this purpose, this Chapter covers data import and data export subjects in MATLAB.. Finally, this Chapter introduces the concept of data direct access, described next.
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Vibration Components Generated by Rotary Machinery,rings (REBs). The Chapter also illustrates the concept of characteristics “orders” in parallel to characteristic frequencies. Finally, it gives practical information concerning various harmonic components.
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