BGGTS is well connected with GE Global Parts Distribution Centers. Through its connections with promoters GE and BHEL, and an efficient supply chain network, Customers can count on BGGTS to source the highest quality components for your gas turbines at optimal costs, at your place, at your time, at your hour of need.
Customers benefit through BGGTS
Increase availability by having replacement parts readily available, keeping your outages shorter and your insurers happier.
Enhance reliability with OEM gas turbine parts specifically engineered to work with your assets and extend turbine life.
Improve flexibility through short lead times and replacement parts tracking.
Elevate your performance while reducing maintenance costs with more durable and efficient components
BGGTS has its repair facility at Dundigal, Hyderabad, India, which is one of the biggest and most advanced facilities in India.
Repair capability and service offerings
Accredited with GE Certification, ISO 9001: 2008, 14001-2004 and OHSAS 18001-2007
Repair of parts by adopting GE`s cutting edge technology.
GE repair engineering approved and qualified processes and utilizing GE approved and certified consumables.
Extendor modification, uprate component repairs and advance coating application including upgradable shroud coatings.
F – Technology combustion and hot gas path component repairs.
State of art repairs and Calibration facility for Standard, DLN and MNQC Fuel Nozzles
BHEL-GE Gas Turbine Services (BGGTS) is the authorized aftermarket services provider for GE designed heavy duty gas turbines. With domain expertise from GE and BHEL, a dedicated team and scientific approach for preventive maintenance, BGGTS ensures that your units remain operational and productive with minimal down times
BGGTS offers 24x7 Remote Monitoring and Diagnostics services for gas turbines to improve the availability, reliability, operating performance, and drive the best in class maintenance practices gas turbine plants..
Advanced GE smart signal trigger alerts or advisories to notify and support users of anomalies. A wealth of physics-based OEM design knowledge, combined with fleet statistics, drives continuous development of algorithms to increase the probability of early detection