Cluster Assessment for Online DGA Monitoring
Author James J. Dukarm 2015 CIGRE Canada Conference This paper describes a cluster assessment (CA) method for automatic detection, assessment, and logging of significant fault gas production events by enalysis of multi-gas online monitor data. When large numbers of transformers are monitored, automatic screening interpretation of the data is necessary. The automated interpretation of dissolved gas data must be quite skilled at discriminating between exceptional and unexceptional patterns to provide high sensitivity and high specificity, i.e., to detect incipient problems reliably while generating very few false alarms. The CA method is applied to a moving time window of the most recent 30 to 90 days of multi-gas monitor data for each transformer. It relies upon three innovative elements: P ...
A Thermodynamic Approach to Evaluation of the Severity of Transformer Faults
Authors: F. Jakob, P. Noble, J.J. Dukarm, J.J Published in Power Delivery, IEEE Transactions on vol.27, no.2, pp.554-559, April 2012 doi: 10.1109/TPWRD.2011.2175950 Abstract: Dissolved gas analysis (DGA) has been used to classify the type and severity of faults in transformers. The method commonly used to identify severity is to measure the total fault gas concentration and its rate of change, without regard to the relative concentrations of individual gases. Thermodynamic analysis indicates that the energy required to form gases increases in the order CH4 <; C2H6 ≤ CO ≤ C2H4 <; H2 ≪ C2H2. Based on these results, an energy-weighted dissolved gas analysis (EWDGA) is proposed, where concentrations of individual gases are multiplied by a weighting factor that is proportional to the ener ...
Delta-X Research Completes Reorganization
PDF Version for Download New structure geared to enhance customer service and facilitate expansion VICTORIA, BC – April 21, 2015 – Delta-X Research, provider of TOA4 Online, an industry-leading tool for assessing and tracking the condition of high-voltage electrical apparatus, has completed its corporate reorganization. The new organization’s headquarters remains in Victoria BC while its wholly owned subsidiary, Delta-X Research USA, is based in Durham NC. The reorganization streamlines operations in order to enhance customer services and facilitate product line expansion. Delta-X also welcomes John Brett as President and CEO. Over 25 years, John has held leadership roles in organizations that delivered solutions for demanding applications including utility operations, indust ...
Delta-X Research is pleased to announce the release of our new website, designed with a fresh new look and user-friendly navigation, updated with the latest information about our online solutions for managing insulating fluid test data and assessing the condition of power transformers and other liquid-filled high-voltage electrical apparatus. The new Solutions page contains information about existing and new products. You can now find a Support page for brand new and current users of Delta-X’s TOA4 Online. Here you’ll be able to download technical specs of the products, watch the related videos and read the most up-to-date product news. One of our main goals was to build a user-friendly and simple to navigate site. We hope that you will enjoy browsing our new site, finding mo ...
Delta-X Research Releases TOA4 Monitor Watch
Delta-X is pleased to announce to release of TOA4 Monitor Watch. TOA4 Monitor Watch extends TOA4 Online to process online DGA monitor data automatically, and to provide timely and high-quality diagnostic information to operations & maintenance teams and enterprise systems. TOA4 Monitor Watch automates the screening and initial interpretation of online DGA monitor data to present statistical and graphical summaries for high-voltage equipment experts. Using sophisticated algorithms, TOA Monitor Watch also distills the high and medium-frequency noise present in online DGA monitor data in order to provide the most accurate and timely apparatus condition assessment while avoiding disruptive and costly false alarms. Click here to learn more.