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1

Lughofer, Edwin, and Moamar Sayed-Mouchaweh, eds. Predictive Maintenance in Dynamic Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05645-2.

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2

Gouriveau, Rafael, Kamal Medjaher, and Noureddine Zerhouni. From Prognostics and Health Systems Management to Predictive Maintenance 1. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119371052.

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3

Chebel-Morello, Brigitte, Jean-Marc Nicod, and Christophe Varnier. From Prognostics and Health Systems Management to Predictive Maintenance 2. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119436805.

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4

Ebeling, Charles E. The determination of operational and support requirements and costs during the conceptual design of space systems: Final report : under grant no. NAG-1-1327. University of Dayton, Engineering Management and Systems Dept., 1992.

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5

United States. National Aeronautics and Space Administration., ed. The determination of operational and support requirements and costs during the conceptual design of space systems: Interim report. University of Dayton, Engineering Management and Systems Dept., 1991.

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6

Inglese, Vitaliano, Mario Girone, Marco Pezzetti, and Pasquale Arpaia. Cryogenic Systems: Advanced Monitoring, Fault Diagnostics, and Predictive Maintenance. Momentum Press, 2017.

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7

Holm-Nielsen, Jens Bo, Sanjeevikumar Padmanaban, K. Mohana Sundaram, and P. Pandiyan. Photovoltaic Systems: Artificial Intelligence-Based Fault Diagnosis and Predictive Maintenance. Taylor & Francis Group, 2022.

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8

Holm-Nielsen, Jens Bo, Sanjeevikumar Padmanaban, K. Mohana Sundaram, and P. Pandiyan. Photovoltaic Systems: Artificial Intelligence-Based Fault Diagnosis and Predictive Maintenance. Taylor & Francis Group, 2022.

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9

Holm-Nielsen, Jens Bo, Sanjeevikumar Padmanaban, K. Mohana Sundaram, and P. Pandiyan. Photovoltaic Systems: Artificial Intelligence-Based Fault Diagnosis and Predictive Maintenance. CRC Press LLC, 2022.

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10

Holm-Nielsen, Jens Bo, Sanjeevikumar Padmanaban, K. Mohana Sundaram, and P. Pandiyan. Photovoltaic Systems: Artificial Intelligence-Based Fault Diagnosis and Predictive Maintenance. Taylor & Francis Group, 2022.

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11

Gouriveau, Rafael, Kamal Medjaher, and Noureddine Zerhouni. From Prognostics and Health Systems Management to Predictive Maintenance 1: Monitoring and Prognostics. Wiley & Sons, Incorporated, John, 2016.

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12

Gouriveau, Rafael, Kamal Medjaher, and Noureddine Zerhouni. From Prognostics and Health Systems Management to Predictive Maintenance 1: Monitoring and Prognostics. Wiley & Sons, Incorporated, John, 2016.

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13

Gouriveau, Rafael, Kamal Medjaher, and Noureddine Zerhouni. From Prognostics and Health Systems Management to Predictive Maintenance 1: Monitoring and Prognostics. Wiley & Sons, Incorporated, John, 2016.

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14

Gouriveau, Rafael, Kamal Medjaher, and Noureddine Zerhouni. From Prognostics and Health Systems Management to Predictive Maintenance 1 Vol. 4: Monitoring and Prognostics. Wiley & Sons, Incorporated, John, 2016.

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15

Chebel-Morello, Brigitte, Jean-Marc Nicod, and Christophe Varnier. From Prognostics and Health Systems Management to Predictive Maintenance 2: Knowledge, Reliability and Decision. Wiley & Sons, Incorporated, John, 2017.

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16

Sayed-Mouchaweh, Moamar, and Edwin Lughofer. Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications. Springer, 2019.

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17

Chebel-Morello, Brigitte, Jean-Marc Nicod, and Christophe Varnier. From Prognostics and Health Systems Management to Predictive Maintenance 2: Knowledge, Reliability and Decision. Wiley & Sons, Incorporated, John, 2017.

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18

Chebel-Morello, Brigitte, Jean-Marc Nicod, and Christophe Varnier. From Prognosis and Health Systems Management to Predictive Maintenance 2 Vol. 2: Knowledge, Traceability and Decision. Wiley & Sons, Incorporated, John, 2017.

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19

Chebel-Morello, Brigitte, Jean-Marc Nicod, and Christophe Varnier. From Prognostics and Health Systems Management to Predictive Maintenance 2 Vol. 7: Knowledge, Reliability and Decision. Wiley & Sons, Incorporated, John, 2017.

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20

Schwingungen in Windenergieanlagen 2018. VDI Verlag, 2018. http://dx.doi.org/10.51202/9783181023242.

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Inhalt BIG DATA Anwendungen – Predictive Maintenance, Betriebsoptimierung und Weiterbetrieb Condition Monitoring Systeme als Datenlieferant für Windenergieanlagen 1 J. Folmer, E. Becker, PRÜFTECHNIK Condition Monitoring GmbH, Ismaning Predictive Analytics als Entscheidungsgrundlage 13 F. Wagner, STEAG Energy Services GmbH, Essen Einfluss nicht planmäßiger Schwingungen auf die Weiterbetriebsdauer von Windenergieanlagen 25 A. Andreä, Axel Andreä Consulting and Engineering, Köln; U. Moritz, windexperts Prüfgesellschaft mbH, c/o energie profile Ingenieurbüro Glocker, Memmingen Schallmessung und Sc
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