Electric Machine Signature Testing Without Full-Load Trials
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Solution Overview
Problem
The high cost and resource-intensive nature of full-load testing for wind turbine generators, particularly in offshore installations, necessitates the development of more efficient testing methods to ensure reliability without the need for extensive dynamic testing.
Innovation Solution
A virtual machine testing system that uses static tests to generate test signatures, comparing them to reference signatures from qualified machines, allowing for the evaluation of electric machines in magnetic, electrical, thermal, and mechanical domains without the need for full-load testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full-load dynamic testing is performed on wind turbine generators, then reliability of the generator is ensured, but testing cost and time increase significantly
Solution Approach 1:
The patent creates a virtual copy of the generator's dynamic behavior through simulation models. Instead of physically testing the actual generator under full-load conditions, a virtual replica is created that replicates the generator's operational characteristics. This virtual model can then be tested extensively without time constraints, and the results are used to assess the real generator's reliability, thereby eliminating the time penalty of physical dynamic testing while maintaining reliability assurance.
Solution Approach 2:
The patent performs preliminary virtual testing and validation before physical deployment. By conducting comprehensive simulations and creating validated digital twins in advance, the system prepares all necessary test data and performance benchmarks beforehand. This preliminary action allows the actual generator to be assessed immediately upon installation without requiring subsequent time-consuming dynamic tests, thus resolving the time-cost contradiction.
2Reliability
If full-load dynamic testing is performed on wind turbine generators, then reliability of the generator is ensured, but testing cost increases significantly
Solution Approach 1:
The patent replaces expensive physical testing infrastructure with virtual simulation environments. By creating digital replicas of the generator and its operational conditions, the system eliminates the need for costly test stands, power systems, and physical test equipment. The virtual testing platform can be reused indefinitely without degradation, making reliability assessment economically viable without compromising thoroughness.
Solution Approach 2:
The patent substitutes mechanical and physical testing systems with computational and software-based virtual testing systems. Instead of using actual generators, motors, and mechanical coupling devices to perform physical dynamic tests, the system uses computer simulations, mathematical models, and virtual environments to replicate and analyze generator behavior. This substitution dramatically reduces testing costs while maintaining the ability to assess generator reliability under various operating conditions.
3Power
If the size of the generator increases, then power generation capacity increases, but testing equipment size and cost increase
Solution Approach 1:
The patent creates virtual models that can represent generators of any size without requiring proportional increases in physical test equipment. The simulation environment can scale to model any generator capacity digitally, allowing the assessment of large offshore wind turbine generators without needing equally large physical test facilities. This virtual copying approach decouples the relationship between generator size and testing infrastructure requirements.
Solution Approach 2:
The patent replaces physical mechanical testing systems with computational models that can handle any scale. Instead of using actual large-scale generators and test motors that would cost millions to procure and operate, the system uses software-based simulations that can model any generator size. The computational resources required do not scale linearly with generator power rating, breaking the direct correlation between generator size and testing cost that plagues conventional approaches.
Data Source
AI summary
Systems, methods, and computer program products for virtual machine testing of an electric machine. A test signature including parameter values measured during one or more static tests of the electric machine is compared to a reference signature generated by performing a similar series of static tests on a reference machine. The reference machine is then validated by subjecting the reference machine to full-load dynamic testing. The test and reference signatures may include a plurality of parameters each characterizing a physical property of the respective machines in one or more physical domains. The parameters are selected so that the electric machine can be qualified for operation in the field by comparing the test signature to the reference signature, thereby avoiding the need for full-load dynamic testing of the electric machine.


