AspenTech Corporation
16Patents
16Active
16Granted
51Portfolio score
Filing activity: Apr 30, 2018 → May 17, 2022
Most-cited patents
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11754998B2 | System and methods for automated model development from plant historical data for advanced process control | Physics | 4 | Active |
| US11853032B2 | Combining machine learning with domain knowledge and first principles for modeling in the process industries | Physics | 2 | Active |
| US11630446B2 | Reluctant first principles models | Physics | 2 | Active |
| US11782401B2 | Apparatus and methods to build deep learning controller using non-invasive closed loop exploration | Physics | 2 | Active |
| US11774924B2 | Method and system for process schedule reconciliation using algebraic model optimization | Physics | 1 | Active |
| US11474508B2 | Projection methods to impose equality constraints on algebraic models | Physics | 1 | Active |
| US11761427B2 | Method and system for building prescriptive analytics to prevent wind turbine failures | Emerging Cross-Sectional Technologies | 0 | Active |
| US11614733B2 | Computer system and method for automated batch data alignment in batch process modeling, monitoring and control | Emerging Cross-Sectional Technologies | 0 | Active |
| US12366847B2 | Anomaly event detector | Physics | 0 | Active |
| US11663546B2 | Automated evaluation of refinery and petrochemical feedstocks using a combination of historical market prices, machine learning, and algebraic planning model information | Physics | 0 | Active |
| US11526155B2 | Computer system and method for batch data alignment with active learning in batch process modeling, monitoring, and control | Physics | 0 | Active |
| US11740598B2 | Apparatus and methods to build a reliable deep learning controller by imposing model constraints | Physics | 0 | Active |
| US11995127B2 | Validation of operating plans and schedules using machine learning | Physics | 0 | Active |
| US12217198B2 | Method and system for process schedule reconciliation using machine learning and algebraic model optimization | Physics | 0 | Active |
| US11933159B2 | System and methods for developing and deploying oil well models to predict wax/hydrate buildups for oil well optimization | Fixed Constructions | 0 | Active |
| US11934159B2 | Apparatus and methods for non-invasive closed loop step testing with controllable optimization relaxation | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Counts and citation impact are objective bibliographic measures.