The simulated altitude test facility, as an important means to verify the performance, characteristics, and evaluation result criteria of aero-engines, has a pivotal engineering significance in the process of aero-eng...
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The simulated altitude test facility, as an important means to verify the performance, characteristics, and evaluation result criteria of aero-engines, has a pivotal engineering significance in the process of aero-engine development and promotion of application. In order to cope with the drawbacks of traditional techniques for experimental processes, this paper proposes the real-time data extraction and transfer techniques with multiple optimization strategies and the faultdiagnosis technology of simulated altitude test facility with an improved optimization algorithm is propose, Firstly, the optimization strategy based on peak shaving + peak fast processing and token bucket instructions with multi-threaded parallel processing flow allocation call logic is used to realize the test data for fast extraction and migration demand, and then the overall data transfer function is optimized in granularity improvement schemes by using the abstraction optimization strategy mechanism based on Direct Routing mode to maximise real-time targets while ensuring correspondence and completeness of test data. Finally, the random forest algorithm with Multi-Head Attention optimization is used to implement the diagnostic technology research of the simulated altitude test facility under two scenarios under the data-driven mode, and the analytical comparison and validation results with the unimproved and optimized Random Forest algorithm are given. The results indicate that the amount of test data synchronization reaches 300 + lines per second, the accuracy of faultdiagnosis identification is increased by 30% at the highest degree, and the proposed improvement research has a very high degree of application value and innovativeness.
Electric Vehicles (EVs) are an effective solution for reducing greenhouse gas emissions to the atmosphere. Safety is the most crucial issue in the automotive industry and any fault in the EV drivetrain may results in ...
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Electric Vehicles (EVs) are an effective solution for reducing greenhouse gas emissions to the atmosphere. Safety is the most crucial issue in the automotive industry and any fault in the EV drivetrain may results in a fatal accident. This paper discusses the dynamic performance of EVs under drivetrain Voltage Source Inverter (VSI) switch faults and presents the suitable faultdiagnosis Algorithm (FDA) and remedial strategy for EV applications. Physical testing of drivetrain faults in EVs is both expensive and extremely difficult;therefore the Nissan Leaf and the Lightning GT EVs are simulated using a validated model of the Permanent-Magnet Synchronous Motor (PMSM) and their performances investigated under faulty drivetrain conditions. Simulation results show the necessity of implementing fault Tolerant Control Systems (FTCSs) in EV drivetrain electric motor drives. Various fault diagnosis algorithms of the VSI switch faults in PMSM drives are reviewed and their merits and demerits are discussed. Existing fault tolerant control inverter topologies are also reviewed and compared based on EV application requirements. Finally, suitable FDA and fault tolerant control inverter topology for EV drivetrain application are recommended to maintain safe and optimal vehicle performance in the post-fault condition.
To level up the application of wireless sensor network in cotton field soil monitoring, wireless sensor network technology has been studied deeply. Some difficulties, including the design of soil moisture sensor, cove...
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ISBN:
(纸本)9781441902122
To level up the application of wireless sensor network in cotton field soil monitoring, wireless sensor network technology has been studied deeply. Some difficulties, including the design of soil moisture sensor, covering problem in wireless sensor network and diagnosis algorithm for wireless sensor networks and node, are been proposed and discussed. Combined with cotton field soil moisture monitoring application, coverage and deployment based not only on plane space but also on time are been discussed and a faultdiagnosis algorithm based on entropy is been put forward in the article.
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