By Josh Fausset, Director of Customer Success at Sentient Science
Authored by Matt Smith, Sentient Science Marketing
Digitalization. Big data. Data analytics. Efficiency.
Wind turbines operate by converting the kinetic energy in wind to mechanical power. The power produced is connected to a power grid which is used to power appliances, homes, industrial buildings, offices, electrical equipment, vehicles, etc.
Main bearings deployed in the field may fail after 6 to 10 years of operation, leading to costly $150,000 to $300,000+ replacements. If an operator experiences multiple main bearing failures in a budget year, that can bleed heavily into profit margins.
Main bearings have high radial load capacities and an advanced tolerance for large misalignment. However, most main bearings still fail prior to their 20-year design life.
Computational testing tools promise to save designers of rotorcraft transmissions physical testing time and money, and make Health and Usage Monitoring Systems more reliable
We, like the rest of the world, will be sitting on the edge of our seats today as the 45th President of the United States takes the Oath of Office. We’ve been listening intently to his Cabinet nominations for the Environmental Protection Agency, Department of Energy and Small Business Administration, as their views on the economy, environment and government funding will impact our industry significantly over the next four years.
A recent New York Times article touted the wind technician field as the fastest growing occupation in America. The phase down of the PTC tax credit set into motion an urgency to submit plans for increases in wind energy capacity, and as a result, the number of available wind tech jobs is expected to rise by as much as 108% over the next 10 years.
On one hand, job growth means more wind-generated power will be used for electrification as opposed to the traditional gas and coal fire sources. This is good for the economy and good for air quality.
On the other hand, wind technicians are needed because wind turbines are expensive to maintain. Most operators invest in some sort of data analytics to equip their technicians with information about which turbines need a filter or oil exchange, and/or which turbines to borescope inspect for signs of wear and degradation. Today, if there is a fault in the field, it's the technician's job to figure out what's causing the failure and assess the best course of action to take to mitigate down time.