Tuesday, November 15, 2011
Program: Overhead Equipment Maintenance
John Lauletta, CEO, Exacter Corporation,
Overhead System Condition Assessment and Maintenance: Techniques and Benefits
As overhead electric equipment ages it is subject to damaged by lightning,
environmental pollution, switching surges, freeze/thaw cycles, and other issues
of age related wear-and-tear. The result of this damage is momentary and
sustained outages, reduced circuit reliability, increased Customer Minutes of
Interruption (CMI) and a degradation of standard reliability indices such as
SAIFI and SAIDI.
This presentation will review the root causes of equipment damage, the symptoms
that result from weakened equipment, the opportunity to improve overall overhead
distribution reliability, case studies to demonstrate the efficacy of
predictive-based overhead system hardening, and the methodologies to develop
conditions-based predictive maintenance programs. The review will include
high-voltage laboratory test methods and results that demonstrate the failure
syndromes of weakened overhead equipment.
Finally, the presentation will cover the integration and use of data in utility
data systems to support project strategies and maintenance planning.
Examples of GIS and satellite imagery for resource planning will be included.
Exacter makes equipment that senses RF emissions from power line equipment, separates background emissions, and uses resulting signal to identify problem areas in the power line connections. Examples are cracked or worn insulators and vegetation interferences which will eventually fail causing a power outage. Exacter will also do surveys under contract. Exacter has developed the survey equipment, methods, and signatures of problem areas.
Initially, the survey method was to drive through an area, using a GPS system to track coordinates, and record RF emissions. More recently, they have used helicopters to scan an area. Presently they are developing technology to detect underground problems.
A Novel Survey Approach for Power System Condition Monitoring
(pdf, 528 KB)
Lab Methods for Power System Condition Monitoring
(pdf, 541 KB)