<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>422</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>40 (davon 11 Seiten Anhang)</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>report</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2019-12-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Cleaning up the Spoy Canal</title>
    <abstract language="eng">Since the Rhein-Waal University is located at the Spoy Canal and the Spoy Canal is heavily polluted by organic matter and waste, the 2015 Technical Investment Planning course was focused on the investigation of the pollution and methods of cleaning up the canal. The following results were achieved:&#13;
The pollution of the canal is not avoidable but reducible. The pollution sources are certain, the pollution from the drainage is not avoidable, but the pollution from the pedestrians is. It is important to build up a more efficient trash collection system by setting up more trash cans and more frequent daily check of the trash cans, the pollution from the city can be significantly reduced.&#13;
For the existing problems like the pollution gathering at different locations in the canal, it is important to clean up these gathering once at a time, this might decrease the frequency of the pollution showing up in the city area due to wind and other influencing factors. For different solutions, after thorough research the best solution was (and is still) to purchase a boat with a front loading bucket. Because the boat height is optimal, so there are more functioning areas without loading and unloading the boat on the trailer. And it will save a lot of money in comparison to the cleaning method that was applied in 2015 (and what was applied up to late 2018). However, the investigation was a theoretical task. It was no official project with any counterparts. Therefore all results should help to create knowledge.</abstract>
    <identifier type="urn">urn:nbn:de:hbz:1383-opus4-4224</identifier>
    <licence>CC BY-NC-ND 4.0 International - Namensnennung-Nicht kommerziell-Keine Bearbeitungen</licence>
    <author>Xianan Zhang</author>
    <author>Marcus Strauch</author>
    <author>Iderbat Sarangoo</author>
    <author>Roland Schmetz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Spoy Canal</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pollution</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cleaning up</value>
    </subject>
    <collection role="ddc" number="62">Ingenieurwissenschaften</collection>
    <collection role="institutes" number="">Fakultät Technologie und Bionik</collection>
    <thesisPublisher>Hochschule Rhein-Waal</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-rhein-waal/files/422/Cleaning_up_the_Spoy_Canal.pdf</file>
  </doc>
  <doc>
    <id>413</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>80</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2019-08-27</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>2019-07-26</thesisDateAccepted>
    <title language="eng">A comprehensive study on the gearbox fault diagnosis based on vibration analysis: development of a condition monitoring system</title>
    <abstract language="eng">Modern industrial processes run in a continuous fashion, and unexpected shutdowns may lead to significant economic losses. Hence, sustainable maintenance practices are employed in most state-of-the-art sites. Predictive maintenance offers the possibility of mitigating breakdowns and ensures optimum usage of machines. Therefore, the development of reliable condition monitoring systems is crucial in guaranteeing reliable forecasting of machine failures and scheduling of maintenance works. However, since there is active ongoing research in the field of vibration-based condition monitoring, there is an urge to review the latest advances on this topic. Additionally, since condition monitoring is a relatively new branch of engineering, few standards and baselines exist for setting up condition monitoring systems.&#13;
The current thesis aims to provide a comprehensive framework for gearbox condition monitoring. The aim is to be achieved in the form of developing a baseline GUI for bearing and gear fault analysis. A literature review is conducted to conceptualize gearbox vibration-based fault diagnosis strategies and identify the required signal processing algorithms for fault detection and diagnosis. The software development process is presented alongside the developed MATLAB-based GUI, which is deployed as a standalone application. An assessment of the implemented processing algorithms is done with various numerically generated gearbox signal models. Furthermore, the developed software is used to perform fault diagnosis on experimental data.</abstract>
    <identifier type="urn">urn:nbn:de:hbz:1383-opus4-4131</identifier>
    <licence>CC BY-NC 4.0 International - Namensnennung-Nicht kommerziell</licence>
    <author>Catalin Dascaliuc</author>
    <collection role="institutes" number="">Fakultät Technologie und Bionik</collection>
    <thesisPublisher>Hochschule Rhein-Waal</thesisPublisher>
    <thesisGrantor>Hochschule Rhein-Waal</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-rhein-waal/files/413/Bachelor_thesis_CM_HSRW.pdf</file>
  </doc>
  <doc>
    <id>330</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>101</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2019-03-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>2019-02-27</thesisDateAccepted>
    <title language="eng">Implementation of an adaptive control loop on an FPGA microcontroller for a Torque Sensor Calibration rig and optimization of the mechanical design to realize smallest possible uncertainties</title>
    <abstract language="eng">A statement on the accuracy of the result of a torque calibration is expressed as a measurement uncertainty (Bell, 1999). This measurement uncertainty is derived from a measurement uncertainty budget which considers contributing factors on the measurement uncertainty and the degree to which these factors influence the measurement uncertainty. Measurement uncertainties arise from different sources such as the measuring item, measuring instruments, environment, the operator and other sources (Bell, 1999). This work seeks to investigate the contributions arising from the afore-mentioned sources on the measurement uncertainties of the lower range (i.e. 5 to 200 Nm) of a HBM 2 kNm reference type torque calibration rig.&#13;
&#13;
This work also presents a software implementation of a control loop on an FPGA microcontroller using the graphical programming language LabVIEW. The design of the control system on the FPGA isn’t done using VHDL (Very high speed integration circuit Hardware Description Language) but LabVIEW FPGA module from National Instruments. The control system would consists of torque and position control features.</abstract>
    <identifier type="urn">urn:nbn:de:hbz:1383-opus4-3304</identifier>
    <licence>CC BY 4.0 International - Namensnennung</licence>
    <author>Stan Ibor</author>
    <collection role="institutes" number="">Fakultät Technologie und Bionik</collection>
    <thesisPublisher>Hochschule Rhein-Waal</thesisPublisher>
    <thesisGrantor>Hochschule Rhein-Waal</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-rhein-waal/files/330/Bachelor Thesis_Ibor.pdf</file>
  </doc>
</export-example>
