LPTi offers customized predictive maintenance products and services for gas turbines using its patented XactLIFE digital twin technology to provide quantitative alternative to OEMs preventive maintenance and parts replacement recommendations. LPTi products use actual engine usage data and physics based modeling approach to provide engine Condition Based Maintenance (CBM) decisions. Predictive analytics and probabilistic methods are also used to perform risk assessment. Engine life cycle managers in aerospace, power generation, oil & gas, marine and avionics can make firm decisions about part life extension, part replacement and engine overhaul. Engine parts designers can also use this technology to produce robust part designs.
LPTi technology uses qualified and validated steps of load filtering, engine modeling, temperature and stress-strain computations and microstructure based damage modeling using a patented framework (LCM-ES: CA-2,604,118 ; US-8,116,990 B2) to predict the usage based crack nucleation and propagation life of an engine part. See brochure for more details. The solution is up to 10 times more accurate than the traditional empirical modeling or data trending approaches. The system provides a choice of damage models for gas turbine applications including creep, Low Cycle Fatigue (LCF), stress corrosion, Thermal Mechanical Fatigue (TMF) and coating degradation for life analysis.
- Early detection of impending part failures and perform root cause failure analysis
- Make firm decisions about quantitative RLA and potential life extension of parts
- Reduced maintenance cost (around 40%) using predictive maintenance, deferred capital expenditure, higher availability/uptime, and reduced design development costs
- Quantitative risk assessment for usage, material properties and inspection variabilities
- Limited engine operational, maintenance, service and failure data needed