"This new state-of-the-art remote diagnostics center further reinforces our commitment to providing our customers with the very best in remote monitoring and diagnostics," said Tim Holt, CEO of Siemens Service Renewables. "We've been monitoring longer than anyone else in the industry and are leveraging the data into value-added decision-making tools that help our customers operate at maximum efficiency."
Since 1998 the company's expert team in Brande has continuously developed and improved the technology. Automatic Root Cause Identifier is a program that automatically detects and suggests the most likely parameter to cause deviation in turbine systems performance. Automated Surveillance based on Dynamic Linear Models is a system that constantly compares turbine systems performance with learnings and predictions of normal performance. These are just two examples of Siemens patented technologies and are part of Siemens' remote diagnostics portfolio designed to detect deviations, and react fast and proactively in order to avoid downtime and lost production.
Furthermore, Siemens can analyze the data collected to draw trends on individual turbines as well as the overall fleet. Experts can look to see how certain locations, operating conditions and length of service are impacting the turbines and make recommendations based on this and other data. The results contribute to enhanced turbine performance over the long term, thereby lowering the cost of energy. "What we are learning and seeing today, combined with historical data from the past, can provide valuable insights and play an important role in our future research and development," added Holt.
In establishing this new, state-of-the-art remote diagnostics center, Siemens has further advanced its monitoring and diagnostic capabilities, bundling expert knowledge in one place. The new building also includes a dedicated customer area where customers can meet with Siemens experts, observe the center's operations firsthand, and work together for a proactive approach to managing service and maintenance.