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DESCRIPTION:The IEEE Finland Section and IEEE Finland joint chapter IE13/PE
 31/IA34/PEL35\, together with Aalto University\, is offering an intensive 
 5-day 5-credit course on the Partial Discharge Detection in High Voltage E
 quipment taught by Dr Murtaza Hashmi\, a recognized Expert at Power System
 s. The assessment of the course will be based on attendance\, active parti
 cipation in the discussions\, and performance in Group Work and homework a
 ctivities. It is worth mentioning that the course is free for our IEEE Mem
 bers. Please note that this is an in-person course\, and we only have a fe
 w places available\, so registration is binding. Participants are responsi
 ble for organizing and paying their own travel costs\, accommodation\, and
  food.\n\nPlease find the additional information as follows.\n\nCourse Gen
 eral Information:\nThis course will address advanced Partial Discharge (PD
 ) detection techniques used for insulation diagnostics and predictive main
 tenance of High Voltage (HV) equipment. A brief overview of understanding 
 PD phenomenon\, its types and characteristic\, detection principles and me
 thods\, comparison of offline and online PD testing\, PD signals propagati
 on and attenuation\, de-noising of PD signals due to interferences and cal
 ibration of PD testing and monitoring systems will be discussed. The offli
 ne and online PD detection techniques in power transformers\, Air Insulate
 d Switchgears (AIS)\, Gas Insulated Switchgears (GIS)\, power cables and a
 ccessories\, overhead distribution lines\, electric machines and switchyar
 d equipment including insulators\, overhead transmission lines and other h
 ardware infrastructure will be elaborated in depth. The international stan
 dards including IEEE\, IEC and CIGRE and best prevailing practices and gui
 delines will be explained to perform PD testing\, data analysis and interp
 retation for effective insulation diagnostics in HV equipment. Several suc
 cessful case studies and lessons learnt will be presented based on real-li
 fe PD testing for improved fault detection and localization. An overview o
 f smart sensing infrastructure for online real-time continuous PD monitori
 ng and its application for digital transformation will be carried out whic
 h builds the basis of Industry 4.0 for advanced condition monitoring\, dia
 gnostics and predictive maintenance of HV equipment.\n\nLearning Outcomes:
 \nUpon successful completion of this course\, students will be able to:\n\
 n- Explain the complex phenomenon of PD\, its types and distinguished char
 acteristics.\n- Explain PD detection principles and methods\, PD signals p
 ropagation and attenuation\, de-noising of PD signals and measurement cali
 bration for effective and reliable insulation diagnostics and predictive m
 aintenance.\n- Demonstrate offline and online PD testing techniques in dif
 ferent HV equipment including power transformers\, switchgears\, power cab
 les and accessories\, overhead distribution lines\, electric machines and 
 switchyard equipment.\n- Describe international standards and best prevail
 ing practices and guidelines to help perform PD testing\, data analysis an
 d interpretation for effective insulation diagnostics in HV equipment.\n- 
 Highlight successful case studies and lessons learnt based on real-life PD
  testing for improved fault detection and localization in HV equipment.\n-
  Develop plan to implement online real-time PD monitoring systems for the 
 diagnostics and predictive maintenance of HV equipment under Industry 4.0 
 initiative\n\nLearning Resources:\nA set of course presentation slides\, a
 nd supporting materials based on publications\, white papers\, case studie
 s\, and technology brochures will be available.\n\nLearning and Teaching A
 ctivities:\nThis course relies on lectures and interactive discussions as 
 the primary delivery mechanism. A Group Work will be assigned to the stude
 nts in the classroom to reinforce the theoretical concepts encountered in 
 lectures and deliver brief presentation by each Group. In addition\, a Hom
 ework will be assigned to the students in the form of writing an essay to 
 summaries the details of advanced condition monitoring systems for power a
 ssets to gauge their progress and understanding.\n\nAssessment:\nThe asses
 sment of the course will be based on the class attendance\, active partici
 pation in the discussions\, and performance in Group Work and Homework act
 ivities.\n\nLanguage:\nThe working language of the course is English.\n\nC
 o-sponsored by: Aalto University\n\nSpeaker(s): Murtaza Hashmi \n\nAgenda:
  \nAgenda: all days 09:00-17:00\n\nDay 1\, Mon. Aug 10\n\n- Understanding 
 PD phenomenon\, its types and characteristic\, detection principles and me
 thods.\n- PD signals propagation and attenuation\, different types of nois
 es or interferences and their elimination.\n- Calibration of PD testing an
 d monitoring systems\n\nDay 2\, Aug 11\n\n- Online Dissolved Gas Analysis 
 (DGA) monitoring system\n- Bushing monitoring system for bushing and windi
 ng health condition assessment\n- Other monitoring systems based on PD mea
 surements using ultrasonic and high frequency sensors\n- International sta
 ndards\, best practices and guidelines for PD detection in power transform
 ers\n- Case studies based on real-life PD detection in power transformers\
 n\nDay 3\, Aug 12\n\n- Online PD monitoring system for Air Insulated Switc
 hgears (AIS)\n- Online PD monitoring system for Gas Insulated Switchgears 
 (GIS)\n- International standards\, best practices and guidelines for PD de
 tection in switchgears\n- Case studies based on real-life PD detection in 
 switchgears\n\nDay 4\, Aug 13\n\n- Offline and online PD testing in power 
 cables and accessories\n- Online PD monitoring in covered-conductor overhe
 ad distribution lines\n- International standards\, best practices and guid
 elines for PD detection in distribution networks\n- Case studies based on 
 real-life PD detection in distribution networks\n\nDay 5\, Aug 14\n\n- Onl
 ine PD monitoring in electric motors and generators\n- Corona discharge te
 sting for insulators\, bushing and surge arresters\, overhead transmission
  lines and other hardware infrastructure.\n- International standards\, bes
 t practices and guidelines for PD detection in other electrical equipment\
 n- Case studies based on real-life PD detection in other electrical equipm
 ent\n\nGroup Work: Important elements of insulation diagnostic techniques-
  PD sensors\, data collection\, data analysis and interpretation\, decisio
 n-making.\n\nExplanation of Homework: An essay on implementing online real
 -time continuous PD monitoring system for the diagnostics and predictive m
 aintenance of HV equipment – Technology\, implications and challenges!\n
 \nRoom: 1596\, Bldg: Maarintie 8\, Aalto University\, Otaniemi\, Espoo\, S
 odra Finlands Lan\, Finland\, 02150
LOCATION:Room: 1596\, Bldg: Maarintie 8\, Aalto University\, Otaniemi\, Esp
 oo\, Sodra Finlands Lan\, Finland\, 02150
ORGANIZER:Mahdi.Pourakbari@ieee.org
SEQUENCE:9
SUMMARY:A 5-day 5-credit Course at Aalto on Partial Discharge Detection in 
 High Voltage Equipment by Dr. Murtaza Hashmi
URL;VALUE=URI:https://events.vtools.ieee.org/m/544513
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;The IEEE Finland Section
  and IEEE Finland joint chapter IE13/PE31/IA34/PEL35\, together with Aalto
  University\, is offering an intensive 5-day 5-credit course on the &lt;stron
 g&gt;Partial Discharge Detection in High Voltage Equipment&lt;span lang=&quot;EN-US&quot; 
 style=&quot;mso-ansi-language: EN-US\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/strong&gt;taught by Dr Mur
 taza Hashmi\, a recognized Expert at Power Systems. The assessment of the 
 course will be based on attendance\, active participation in the discussio
 ns\, and performance in Group Work and homework activities. It is worth me
 ntioning that the course is &lt;strong&gt;free &lt;/strong&gt;for our&lt;strong&gt; IEEE Mem
 bers&lt;/strong&gt;. Please&lt;strong&gt; note that&lt;/strong&gt; this is an &lt;strong&gt;in-per
 son&lt;/strong&gt; course\, and we only have &lt;strong&gt;a few places&lt;/strong&gt; avail
 able\, so registration is binding. Participants &lt;strong&gt;are responsible&lt;/s
 trong&gt;&amp;nbsp\;for organizing and paying their own travel costs\, accommodat
 ion\, and food.&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;Please find the additional infor
 mation as follows.&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong style=&quot;mso-bidi-font-
 weight: normal\;&quot;&gt;&lt;u&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-ansi-language: EN-US\;&quot;
 &gt;Course General Information:&lt;br&gt;&lt;/span&gt;&lt;/u&gt;&lt;/strong&gt;&lt;span style=&quot;font-size
 : 12.0pt\; line-height: 115%\; font-family: &#39;Calibri&#39;\,sans-serif\; mso-as
 cii-theme-font: minor-latin\; mso-fareast-font-family: Calibri\; mso-farea
 st-theme-font: minor-latin\; mso-hansi-theme-font: minor-latin\; mso-bidi-
 font-family: &#39;Times New Roman&#39;\; mso-bidi-theme-font: minor-bidi\; mso-ans
 i-language: EN-US\; mso-fareast-language: EN-US\; mso-bidi-language: AR-SA
 \;&quot;&gt;This course will address advanced Partial Discharge (PD) detection tec
 hniques used for insulation diagnostics and predictive maintenance of High
  Voltage (HV) equipment. A brief overview of understanding PD phenomenon\,
  its types and characteristic\, detection principles and methods\, compari
 son of offline and online PD testing\, PD signals propagation and attenuat
 ion\, de-noising of PD signals due to interferences and calibration of PD 
 testing and monitoring systems will be discussed. The offline and online P
 D detection techniques in power transformers\, Air Insulated Switchgears (
 AIS)\, Gas Insulated Switchgears (GIS)\, power cables and accessories\, ov
 erhead distribution lines\, electric machines and switchyard equipment inc
 luding insulators\, overhead transmission lines and other hardware infrast
 ructure will be elaborated in depth. The international standards including
  IEEE\, IEC and CIGRE and best prevailing practices and guidelines will be
  explained to perform PD testing\, data analysis and interpretation for ef
 fective insulation diagnostics in HV equipment. Several successful case st
 udies and lessons learnt will be presented based on real-life PD testing f
 or improved fault detection and localization. An overview of smart sensing
  infrastructure for online real-time continuous PD monitoring and its appl
 ication for digital transformation will be carried out which builds the ba
 sis of Industry 4.0 for advanced condition monitoring\, diagnostics and pr
 edictive maintenance of HV equipment.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;st
 rong style=&quot;mso-bidi-font-weight: normal\;&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-
 ansi-language: EN-US\;&quot;&gt;&lt;br&gt;&lt;u&gt;Learning Outcomes:&lt;br&gt;&lt;/u&gt;&lt;/span&gt;&lt;/strong&gt;&lt;
 span lang=&quot;EN-US&quot; style=&quot;mso-ansi-language: EN-US\;&quot;&gt;Upon successful compl
 etion of this course\, students will be able to:&lt;/span&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li cla
 ss=&quot;MsoNormal&quot; style=&quot;line-height: normal\;&quot;&gt;&lt;span style=&quot;font-size: 12.0p
 t\;&quot;&gt;Explain the complex phenomenon of PD\, its types and distinguished ch
 aracteristics. &lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot; style=&quot;line-height: nor
 mal\;&quot;&gt;&lt;span style=&quot;font-size: 12.0pt\;&quot;&gt;Explain PD detection principles a
 nd methods\, PD signals propagation and attenuation\, de-noising of PD sig
 nals and measurement calibration for effective and reliable insulation dia
 gnostics and predictive maintenance. &lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot; s
 tyle=&quot;line-height: normal\;&quot;&gt;&lt;span style=&quot;font-size: 12.0pt\;&quot;&gt;Demonstrate
  offline and online PD testing techniques in different HV equipment includ
 ing power transformers\, switchgears\, power cables and accessories\, over
 head distribution lines\, electric machines and switchyard equipment.&lt;/spa
 n&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot; style=&quot;line-height: normal\;&quot;&gt;&lt;span style=&quot;
 font-size: 12.0pt\;&quot;&gt;Describe international standards and best prevailing 
 practices and guidelines to help perform PD testing\, data analysis and in
 terpretation for effective insulation diagnostics in HV equipment.&lt;/span&gt;&lt;
 /li&gt;\n&lt;li class=&quot;MsoNormal&quot; style=&quot;line-height: normal\;&quot;&gt;&lt;span style=&quot;fon
 t-size: 12.0pt\;&quot;&gt;Highlight successful case studies and lessons learnt bas
 ed on real-life PD testing for improved fault detection and localization i
 n HV equipment.&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot; style=&quot;line-height: nor
 mal\;&quot;&gt;&lt;span style=&quot;font-size: 12.0pt\;&quot;&gt;Develop plan to implement online 
 real-time PD monitoring systems for the diagnostics and predictive mainten
 ance of HV equipment under Industry 4.0 initiative&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p 
 class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0cm\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;MsoN
 ormal&quot;&gt;&lt;strong style=&quot;mso-bidi-font-weight: normal\;&quot;&gt;&lt;span lang=&quot;EN-US&quot; s
 tyle=&quot;mso-ansi-language: EN-US\;&quot;&gt;&lt;u&gt;Learning Resources:&lt;br&gt;&lt;/u&gt;&lt;/span&gt;&lt;/s
 trong&gt;&lt;span style=&quot;font-size: 12.0pt\; line-height: 115%\; font-family: &#39;C
 alibri&#39;\,sans-serif\; mso-ascii-theme-font: minor-latin\; mso-fareast-font
 -family: Calibri\; mso-fareast-theme-font: minor-latin\; mso-hansi-theme-f
 ont: minor-latin\; mso-bidi-font-family: &#39;Times New Roman&#39;\; mso-bidi-them
 e-font: minor-bidi\; mso-ansi-language: EN-US\; mso-fareast-language: EN-U
 S\; mso-bidi-language: AR-SA\;&quot;&gt;A set of course presentation slides\, and 
 supporting materials based on publications\, white papers\, case studies\,
  and technology brochures will be available.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNorm
 al&quot;&gt;&lt;strong style=&quot;mso-bidi-font-weight: normal\;&quot;&gt;&lt;u&gt;&lt;span lang=&quot;EN-US&quot; s
 tyle=&quot;mso-ansi-language: EN-US\;&quot;&gt;Learning and Teaching Activities:&lt;br&gt;&lt;/s
 pan&gt;&lt;/u&gt;&lt;/strong&gt;&lt;span style=&quot;font-size: 12.0pt\; line-height: 115%\; font
 -family: &#39;Calibri&#39;\,sans-serif\; mso-ascii-theme-font: minor-latin\; mso-f
 areast-font-family: Calibri\; mso-fareast-theme-font: minor-latin\; mso-ha
 nsi-theme-font: minor-latin\; mso-bidi-font-family: &#39;Times New Roman&#39;\; ms
 o-bidi-theme-font: minor-bidi\; mso-ansi-language: EN-US\; mso-fareast-lan
 guage: EN-US\; mso-bidi-language: AR-SA\;&quot;&gt;This course relies on lectures 
 and interactive discussions as the primary delivery mechanism. A Group Wor
 k will be assigned to the students in the classroom to reinforce the theor
 etical concepts encountered in lectures and deliver brief presentation by 
 each Group. In addition\, a Homework will be assigned to the students in t
 he form of writing an essay to summaries the details of advanced condition
  monitoring systems for power assets to gauge their progress and understan
 ding.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong style=&quot;mso-bidi-font-weight
 : normal\;&quot;&gt;&lt;u&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-ansi-language: EN-US\;&quot;&gt;Asses
 sment:&lt;br&gt;&lt;/span&gt;&lt;/u&gt;&lt;/strong&gt;&lt;span style=&quot;font-size: 12.0pt\; line-height
 : 115%\; font-family: &#39;Calibri&#39;\,sans-serif\; mso-ascii-theme-font: minor-
 latin\; mso-fareast-font-family: Calibri\; mso-fareast-theme-font: minor-l
 atin\; mso-hansi-theme-font: minor-latin\; mso-bidi-font-family: &#39;Times Ne
 w Roman&#39;\; mso-bidi-theme-font: minor-bidi\; mso-ansi-language: EN-US\; ms
 o-fareast-language: EN-US\; mso-bidi-language: AR-SA\;&quot;&gt;The assessment of 
 the course will be based on the class attendance\, active participation in
  the discussions\, and performance in Group Work and Homework activities.&lt;
 /span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;u&gt;Language:&lt;br&gt;&lt;/u&gt;&lt;/strong&gt;The 
 working language of the course is &lt;strong&gt;English&lt;/strong&gt;.&lt;/p&gt;\n&lt;p class=
 &quot;MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot; styl
 e=&quot;margin-bottom: 0cm\;&quot;&gt;&lt;span style=&quot;font-size: 12pt\; font-family: &#39;time
 s new roman&#39;\, times\, serif\;&quot;&gt;&lt;strong style=&quot;mso-bidi-font-weight: norma
 l\;&quot;&gt;&lt;span style=&quot;line-height: 115%\;&quot;&gt;Agenda: &lt;/span&gt;&lt;/strong&gt;&lt;span style
 =&quot;line-height: 115%\;&quot;&gt;all days 09:00-17:00&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;M
 soNormal&quot; style=&quot;margin-bottom: 0cm\;&quot;&gt;&lt;span style=&quot;font-size: 12pt\; font
 -family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;&lt;strong style=&quot;mso-bidi-font
 -weight: normal\;&quot;&gt;&lt;span style=&quot;line-height: 115%\;&quot;&gt;Day 1\,&amp;nbsp\;&lt;/span&gt;
 &lt;/strong&gt;&lt;span style=&quot;line-height: 115%\;&quot;&gt;Mon. Aug 10&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n
 &lt;ul&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-GB&quot; style=&quot;font-size: 12pt\; li
 ne-height: 115%\; font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;Unders
 tanding PD phenomenon\, its types and characteristic\, detection principle
 s and methods.&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-GB&quot; style
 =&quot;font-size: 12pt\; line-height: 115%\; font-family: &#39;times new roman&#39;\, t
 imes\, serif\;&quot;&gt;PD signals propagation and attenuation\, different types o
 f noises or interferences and their elimination. &lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;
 MsoNormal&quot;&gt;&lt;span lang=&quot;EN-GB&quot; style=&quot;font-size: 12pt\; line-height: 115%\;
  font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;Calibration of PD testi
 ng and monitoring systems&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;
 margin-bottom: 0cm\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, times\
 , serif\; font-size: 12pt\;&quot;&gt;&lt;strong style=&quot;mso-bidi-font-weight: normal\;
 &quot;&gt;&lt;span style=&quot;line-height: 115%\;&quot;&gt;Day 2\,&amp;nbsp\;&lt;/span&gt;&lt;/strong&gt;&lt;span st
 yle=&quot;line-height: 115%\;&quot;&gt;Aug 11&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li class=&quot;MsoNo
 rmal&quot;&gt;&lt;span lang=&quot;EN-GB&quot; style=&quot;font-size: 12pt\; line-height: 115%\; font
 -family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;Online Dissolved Gas Analysi
 s (DGA) monitoring system&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;E
 N-GB&quot; style=&quot;font-size: 12pt\; line-height: 115%\; font-family: &#39;times new
  roman&#39;\, times\, serif\;&quot;&gt;Bushing monitoring system for bushing and windi
 ng health condition assessment&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span la
 ng=&quot;EN-GB&quot; style=&quot;font-size: 12pt\; line-height: 115%\; font-family: &#39;time
 s new roman&#39;\, times\, serif\;&quot;&gt;Other monitoring systems based on PD measu
 rements using ultrasonic and high frequency sensors&lt;/span&gt;&lt;/li&gt;\n&lt;li class
 =&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-GB&quot; style=&quot;font-size: 12pt\; line-height: 115%
 \; font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;International standar
 ds\, best practices and guidelines for PD detection in power transformers&lt;
 /span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;font-size: 12pt\; line-hei
 ght: 115%\; font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;Case studies
  based on real-life PD detection in power transformers&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;\
 n&lt;p class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0cm\;&quot;&gt;&lt;span style=&quot;font-famil
 y: &#39;times new roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&lt;strong style=&quot;m
 so-bidi-font-weight: normal\;&quot;&gt;&lt;span style=&quot;line-height: 115%\;&quot;&gt;Day 3\,&amp;n
 bsp\;&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;line-height: 115%\;&quot;&gt;Aug 12&lt;/span&gt;&lt;/span
 &gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, times\, serif\; font-size: 
 12pt\;&quot;&gt;&lt;strong&gt;&lt;em style=&quot;mso-bidi-font-style: normal\;&quot;&gt;&lt;span lang=&quot;EN-G
 B&quot; style=&quot;line-height: 115%\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;u
 l&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, ti
 mes\, serif\;&quot;&gt;&lt;span lang=&quot;EN-GB&quot; style=&quot;font-size: 12.0pt\; line-height: 
 115%\; mso-ansi-language: EN-GB\;&quot;&gt;Online PD monitoring system for Air Ins
 ulated Switchgears (AIS)&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span s
 tyle=&quot;font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;&lt;!--[endif]--&gt;&lt;spa
 n lang=&quot;EN-GB&quot; style=&quot;font-size: 12.0pt\; line-height: 115%\; mso-ansi-lan
 guage: EN-GB\;&quot;&gt;Online PD monitoring system for Gas Insulated Switchgears 
 (GIS)&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;font-family: 
 &#39;times new roman&#39;\, times\, serif\;&quot;&gt;&lt;!--[endif]--&gt;&lt;span lang=&quot;EN-GB&quot; styl
 e=&quot;font-size: 12.0pt\; line-height: 115%\; mso-ansi-language: EN-GB\;&quot;&gt;Int
 ernational standards\, best practices and guidelines for PD detection in s
 witchgears&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;font-fam
 ily: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;&lt;!--[endif]--&gt;&lt;span style=&quot;font-
 size: 12.0pt\; line-height: 115%\;&quot;&gt;Case studies based on real-life PD det
 ection in switchgears&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p class=&quot;MsoNormal&quot; styl
 e=&quot;margin-bottom: 0cm\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, tim
 es\, serif\; font-size: 12pt\;&quot;&gt;&lt;strong style=&quot;mso-bidi-font-weight: norma
 l\;&quot;&gt;&lt;span style=&quot;line-height: 115%\;&quot;&gt;Day 4\,&amp;nbsp\;&lt;/span&gt;&lt;/strong&gt;&lt;span
  style=&quot;line-height: 115%\;&quot;&gt;Aug 13&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li class=&quot;Ms
 oNormal&quot;&gt;&lt;span lang=&quot;EN-GB&quot; style=&quot;font-size: 12pt\; line-height: 115%\; f
 ont-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;Offline and online PD tes
 ting in power cables and accessories&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;s
 pan lang=&quot;EN-GB&quot; style=&quot;font-size: 12pt\; line-height: 115%\; font-family:
  &#39;times new roman&#39;\, times\, serif\;&quot;&gt;Online PD monitoring in covered-cond
 uctor overhead distribution lines&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot;&gt;&lt;span
  lang=&quot;EN-GB&quot; style=&quot;font-size: 12pt\; line-height: 115%\; font-family: &#39;t
 imes new roman&#39;\, times\, serif\;&quot;&gt;International standards\, best practice
 s and guidelines for PD detection in distribution networks&lt;/span&gt;&lt;/li&gt;\n&lt;l
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