IRIS POWER

Tutorials | Iris Rotating Machine Conference

Tutorials Descriptions

Monday June 19, 2017

Stator Winding Partial Discharge Theory  –  Howard Sedding

8:00 am – Noon

This tutorial describes partial discharge phenomena and their causes in stator windings.  PD theory, PD detection, sensor installation, and calibration procedures will be discussed.  This will include a quick overview of the installation of continuous monitoring instruments.

Introduction to Stator Winding Partial Discharge Interpretation – Howard Sedding

1:00 pm – 5:00 pm

This tutorial describes the collection of off-line and on-line PD data. PD characteristics of stator-failure mechanisms are described, and case studies from continuous monitoring equipment as well as portable instruments.

Condition Based Maintenance of Turbo-generators – Mladen Sasic

8:00 am – 5:00 pm

One day course will cover basic design of turbo-generator and major stator core and stator and rotor winding failure mechanisms. Principles and benefits of most frequently used on-line monitors, such as partial discharge, end winding vibration, rotor flux and shaft voltage and current, will be explained. Case studies based on data collected from hydrogen and air cooled generators will be presented.

Thursday June 22, 2017

Advanced Stator Winding Partial Discharge Interpretation  – Greg Stone

8:00 am – 5:00 pm

Take PD interpretation one step further with pulse density linear plots to identify cross-coupled PD activity, phase to phase activity, and general pulse phase pattern recognition.  New to the tutorial is the behavior of PD activity over time; defining reliable alerts based on PD activity; Advanced Summary Numbers (ASN) and their diagnostic value; and PD interpretation on data where two or more different types of failure mechanisms are present.

Vibration and Airgap Monitoring of Hydrogenerators –  John Letal / Ozren Husnjak

8:00 am – 5:00 pm

This course covers the concept and approach to modern Machine Condition Monitoring systems that combine various types of monitoring, such as:

 

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