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    <title>Results for "Operational Conditions"</title>
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      <title>Low cost condition monitoring under time-varying operating conditions</title>
      <pubDate>Wed, 10 Jun 2026 12:40:30 +0000</pubDate>
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      <dc:format>Thesis</dc:format>
      <dc:date>2014</dc:date>
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      <title>A cost-effective diagnostic methodology using probabilistic approaches for gearboxes operating under non-stationary conditions</title>
      <pubDate>Wed, 10 Jun 2026 12:40:07 +0000</pubDate>
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      <title>A deep learning approach towards diagnostics of bearings operating under non-stationary conditions</title>
      <pubDate>Wed, 10 Jun 2026 12:40:06 +0000</pubDate>
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      <dc:date>2020</dc:date>
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      <title>Rotating machine diagnosis using smart feature selection under non-stationary operating conditions</title>
      <pubDate>Wed, 10 Jun 2026 12:38:55 +0000</pubDate>
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      <dc:date>2015</dc:date>
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      <title>Latent analysis of unsupervised latent variable models in fault diagnostics of rotating machinery under stationary and time-varying operating conditions</title>
      <pubDate>Wed, 10 Jun 2026 12:37:15 +0000</pubDate>
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      <dc:format>Thesis</dc:format>
      <dc:date>2021</dc:date>
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      <title>Utilizing available time-varying operating condition information in learning-based methods for fault diagnostics of rotating machinery</title>
      <pubDate>Wed, 10 Jun 2026 12:37:09 +0000</pubDate>
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      <dc:date>2023</dc:date>
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      <title>Structural Dynamic Response Reconstruction in the Time Domain</title>
      <pubDate>Wed, 10 Jun 2026 12:36:53 +0000</pubDate>
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