"DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications" - Information and Links:

DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications - Info and Reading Options

"DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications" and the language of the book is English.


“DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications” Metadata:

  • Title: ➤  DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications
  • Author: ➤  
  • Language: English

Edition Identifiers:

  • Internet Archive ID: DTIC_ADA520301

AI-generated Review of “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications”:


"DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications" Description:

The Internet Archive:

The overall objective of this ongoing effort is to provide the capability to model and simulate rotorcraft aeromechanics behaviors in real-time. This would be accomplished by the addition of an aeromechanics element to an existing high-fidelity, real-time helicopter flight simulation. As a first step, the peak vertical vibration at the pilot floor location was considered in this neural-network-based study. The flight conditions considered were level flights, rolls, pushovers, pull-ups, autorotations, and landing flares. The NASA/Army UH-60A Airloads Program flight test database was the source of raw data. The present neural network training databases were created in a physically consistent manner. Two modeling approaches, with different physical assumptions, were considered. The first approach involved a maneuver load factor that was derived using the roll-angle and the pitch-rate. The second approach involved the three pilot control stick positions. The resulting, trained back-propagation neural networks were small, implying rapid execution. The present neural-network-based approach involving the peak pilot vibration was utilized in a quasi-static manner to simulate an extreme, time-varying pull-up maneuver. For the above pull-up maneuver, the maneuver load factor approach was better for real-time simulation, i.e., produced greater fidelity, as compared to the control stick positions approach. Thus, neural networks show promise for use in high-fidelity, real-time modeling of rotorcraft vibration.

Read “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications”:

Read “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications” by choosing from the options below.

Available Downloads for “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications”:

"DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 12.19 Mbs, and the file-s went public at Thu Jul 26 2018.

Legal and Safety Notes

Copyright Disclaimer and Liability Limitation:

A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.

B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.

C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.

D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.

E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.

Virus Scanning for Your Peace of Mind:

The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:

How to scan a direct download link for viruses:

  • 1- Copy the direct link to the file you want to download (don’t open it yet).
    • (a free online tool) and paste the direct link into the provided field to start the scan.
  • 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
  • 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
  • 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.

Available Downloads

  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
  • All Files are Available: Yes
  • Number of Files: 16
  • Number of Available Files: 16
  • Added Date: 2018-07-26 11:29:23
  • PPI (Pixels Per Inch): 300

Available Files:

1- Text PDF

  • File origin: original
  • File Format: Text PDF
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301.pdf
  • Direct Link: Click here

2- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_files.xml
  • Direct Link: Click here

3- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_meta.sqlite
  • Direct Link: Click here

4- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_meta.xml
  • Direct Link: Click here

5- Item Tile

  • File origin: original
  • File Format: Item Tile
  • File Size: 0.00 Mbs
  • File Name: __ia_thumb.jpg
  • Direct Link: Click here

6- Abbyy GZ

  • File origin: derivative
  • File Format: Abbyy GZ
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_abbyy.gz
  • Direct Link: Click here

7- chOCR

  • File origin: derivative
  • File Format: chOCR
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_chocr.html.gz
  • Direct Link: Click here

8- DjVuTXT

  • File origin: derivative
  • File Format: DjVuTXT
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_djvu.txt
  • Direct Link: Click here

9- Djvu XML

  • File origin: derivative
  • File Format: Djvu XML
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_djvu.xml
  • Direct Link: Click here

10- hOCR

  • File origin: derivative
  • File Format: hOCR
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_hocr.html
  • Direct Link: Click here

11- OCR Page Index

  • File origin: derivative
  • File Format: OCR Page Index
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_hocr_pageindex.json.gz
  • Direct Link: Click here

12- OCR Search Text

  • File origin: derivative
  • File Format: OCR Search Text
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_hocr_searchtext.txt.gz
  • Direct Link: Click here

13- Single Page Processed JP2 ZIP

  • File origin: derivative
  • File Format: Single Page Processed JP2 ZIP
  • File Size: 0.01 Mbs
  • File Name: DTIC_ADA520301_jp2.zip
  • Direct Link: Click here

14- Page Numbers JSON

  • File origin: derivative
  • File Format: Page Numbers JSON
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_page_numbers.json
  • Direct Link: Click here

15- Scandata

  • File origin: derivative
  • File Format: Scandata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_scandata.xml
  • Direct Link: Click here

16- Archive BitTorrent

  • File origin: metadata
  • File Format: Archive BitTorrent
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA520301_archive.torrent
  • Direct Link: Click here

Search for “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications” in Libraries Near You:

Read or borrow “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications” from your local library.

Buy “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications” online:

Shop for “DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications” on popular online marketplaces.



Find "DTIC ADA520301: Neural-Network-Based Modeling Of Rotorcraft Vibration For Real-Time Applications" in Wikipdedia