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      <title>AEV - DSAI Workshop Session 4 by Team Z</title>
      <link>https://padlet.com/teamzlift/1xpso30ea0n29nxc</link>
      <description>Operations &amp; Maintenance</description>
      <language>en-us</language>
      <pubDate>2021-04-15 13:54:41 UTC</pubDate>
      <lastBuildDate>2025-09-09 03:53:49 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>rey</title>
         <author></author>
         <link>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078593</link>
         <description><![CDATA[<div>How do we access historical test results(Values) on-line without compromising the integrity of the data?<br><br>&gt;Data to be integrated into an APP where trending can be viewed<br>Expected Result: able to determine health condition based on the trending and determine the MTBF-Mean Time Before Failure<br>Metric:<br>1. Easy access by all technical staff<br>2. able to view and predict before equipment failure<br>3. integrity of the data is preserved<br><br>test results for transformers like insulation, winding impedance, etc with corresponding limits<br><br>linear regression--prediction<br><br><br>.&nbsp;</div>]]></description>
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         <pubDate>2021-04-15 13:54:41 UTC</pubDate>
         <guid>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078593</guid>
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         <title>Lando</title>
         <author></author>
         <link>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078597</link>
         <description><![CDATA[<div>BP Statement<br>High Revenue loss due to&nbsp; Sibulan turbine runner failure<br><br>Key Stakeholder<br>TSD , Sibulan Grid O&amp;M<br><br>Benefits<br>-Reduce downtime and revenue loss<br>-Improve Maintenance planning<br>-Leverage DS to improve predictive maintenance strategy<br><br>Analytic Problem statement<br>Improve maintenance capability to predict failure of turbine Runner<br><br>Stakeholder<br>DS team<br>OT<br>O&amp;M Team<br><br>Metrics<br>1. zero&nbsp; downtime<br>2. Reduce&nbsp; spare parts inventory cost<br>3. Improve turbine efficiency<br><br>Data needed<br>Flow, power, vibration, energy production<br>Turbine efficiency, OEM specs<br><br><br><br></div>]]></description>
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         <pubDate>2021-04-15 13:54:41 UTC</pubDate>
         <guid>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078597</guid>
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         <title>Melvin</title>
         <author></author>
         <link>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078600</link>
         <description><![CDATA[<div><strong>1. Predictive Boiler leak determination<br></strong>2. Asset Life Cycle Management of Major Assets (Turbine, CWP, IDF, FDF)<br>3. Obsolency Resolution (when will be the right time to upgrade)<br><strong><br>Stakeholders</strong>:<br>1. TEC<br>2. TLI <br>3. PEC<br><strong><br>Benefits:</strong><br>1. High Plant Availability and Reliability<br>2. Proper Resource management (capex)<br><strong><br>Analytics Framing<br></strong>1. Boiler leakage contributes 70% of the cause of Downtime on CFB and PC plants, aim is to develop a tool or program to predict the right timing to perform thermal protection improvement and prepare the necessary resources needed.<br>2. Zero (0) Forced Outage due to Boiler leak<br><br>Data Needed:<br>1. Coal Quality<br>2. IDF and FDF load (amp)<br>3. Capacity Factor<br>4. Emission levels<br>5. Boiler Pressure<br>6. Tube Mapping baseline<br>7. Water Quality<br><br>Application:<br>1. Determining the selection set of engineers/operators who can be grouped together to improve start up time.<br>2. Reinforce Tribology interpretation<br><br><br></div>]]></description>
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         <pubDate>2021-04-15 13:54:41 UTC</pubDate>
         <guid>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078600</guid>
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         <title>Predicting The Repair Cycle of xx Hydro Power Plant Turbine</title>
         <author>leolungay</author>
         <link>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078601</link>
         <description><![CDATA[<div><strong>Problem Statement</strong><br>Plant xxx has experienced unplanned downtime due to turbine scouring repairs, resulting to revenue loss.<br><br><strong>Usability Requirements</strong><br>Defined schedules for repairs.<br><br><strong>Key Stakeholders</strong><br>-O&amp;M<br>-Suppliers and Contractors<br>-Customers<br>-Finance Team<br><br><strong>Benefits</strong><br>-Minimized Unplanned Downtime<br>-Optimized Resources through Planning<br><br><strong>ANALYTICS PROBLEM FRAMING<br><br>Analytics Problem Statement<br></strong>1. Develop a model to predict the failure of turbine runner.<br><strong><br></strong>2. Prescribe schedule for repair.<strong><br><br>KRI</strong><br>1. Zero unplanned downtime due to turbine runner repair.<br>2. Decrease inventory cost (JIT)<strong><br></strong><br><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2021-04-15 13:54:41 UTC</pubDate>
         <guid>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078601</guid>
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         <title>Benjie</title>
         <author></author>
         <link>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078604</link>
         <description><![CDATA[<div>1. How to predict the life and repair cycles of the critical assets? (Conveyance Pipes,&nbsp; Penstock pipes)<br><br>Benefits<br>Proper asset management<br>Reduce unplanned outage<br><br>Stakeholder<br>O&amp;M<br>TSD<br><br>Analytics problem<br>1. How to develop model to predict the life of critical asset and repair cycles.<br><br>Data Needed:<br>1. Conveyance Pipe thickness (from new to present)<br>2. Deterioration rate<br>3. Life of the pipes<br>4. Location of the pipes<br>5. Design requirement of the pipes<br>6. Condition assessment of the pipe<br>Algorithms&nbsp;<br>1. Prediction<br>2. Clustering<br><br><br><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2021-04-15 13:54:41 UTC</pubDate>
         <guid>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1421078604</guid>
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      <item>
         <title>Session 4 Plenary Discussion</title>
         <author>marybacus</author>
         <link>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1423859853</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1123333908/f21266abaf34578a5e6562c43b4fde70/image.png" />
         <pubDate>2021-04-16 02:31:43 UTC</pubDate>
         <guid>https://padlet.com/teamzlift/1xpso30ea0n29nxc/wish/1423859853</guid>
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