"NASA Technical Reports Server (NTRS) 19990008960: Neural Network-Based Sensor Validation For Turboshaft Engines" - Information and Links:

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"NASA Technical Reports Server (NTRS) 19990008960: Neural Network-Based Sensor Validation For Turboshaft Engines" and the language of the book is English.


“NASA Technical Reports Server (NTRS) 19990008960: Neural Network-Based Sensor Validation For Turboshaft Engines” Metadata:

  • Title: ➤  NASA Technical Reports Server (NTRS) 19990008960: Neural Network-Based Sensor Validation For Turboshaft Engines
  • Author: ➤  
  • Language: English

Edition Identifiers:

  • Internet Archive ID: NASA_NTRS_Archive_19990008960

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"NASA Technical Reports Server (NTRS) 19990008960: Neural Network-Based Sensor Validation For Turboshaft Engines" Description:

The Internet Archive:

Sensor failure detection, isolation, and accommodation using a neural network approach is described. An auto-associative neural network is configured to perform dimensionality reduction on the sensor measurement vector and provide estimated sensor values. The sensor validation scheme is applied in a simulation of the T700 turboshaft engine in closed loop operation. Performance is evaluated based on the ability to detect faults correctly and maintain stable and responsive engine operation. The set of sensor outputs used for engine control forms the network input vector. Analytical redundancy is verified by training networks of successively smaller bottleneck layer sizes. Training data generation and strategy are discussed. The engine maintained stable behavior in the presence of sensor hard failures. With proper selection of fault determination thresholds, stability was maintained in the presence of sensor soft failures.

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  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
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  • Number of Files: 12
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  • Added Date: 2016-10-15 09:06:04
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