Tryfona, N., & Chava, S., & Dhar, A., & Qamar, T., & Newman, D. (2023, March), An Industry-driven, Project-based Learning Activity: System Identification based on Vibration Signals using Machine Learning    Paper presented at ASEE Southeast Section Conference, Arlington, Virginia. 10.18260/1-2--44984

\bibitem{asee_peer_44984}
  Tryfona, N., \& Chava, S., \& Dhar, A., \& Qamar, T., \& Newman, D. (2023, March), \emph{An Industry-driven, Project-based Learning Activity: System Identification based on Vibration Signals using Machine Learning  }
  Paper presented at ASEE Southeast Section Conference, Arlington, Virginia.
  10.18260/1-2--44984

Nektaria Tryfona, Sindhu Chava, Ayush Dhar, Taimoor Qamar, and Daniel Newman.  "An Industry-driven, Project-based Learning Activity: System Identification based on Vibration Signals using Machine Learning  ".  ASEE Southeast Section Conference, Arlington, Virginia, 2023, March.  ASEE Conferences, 2023.  https://peer.asee.org/44984 Internet.  17 May, 2024

\bibitem{asee_peer_44984}
  Nektaria Tryfona, Sindhu Chava, Ayush Dhar, Taimoor Qamar, and Daniel Newman.
  "An Industry-driven, Project-based Learning Activity: System Identification based on Vibration Signals using Machine Learning  ".
  \emph{ASEE Southeast Section Conference, Arlington, Virginia, 2023, March}.
  ASEE Conferences, 2023.
  https://peer.asee.org/44984 Internet.  17 May, 2024

@INPROCEEDINGS{asee_peer_44984
author = "Nektaria Tryfona, Sindhu Chava, Ayush Dhar, Taimoor Qamar, and Daniel Newman"
title = "An Industry-driven, Project-based Learning Activity: System Identification based on Vibration Signals using Machine Learning  "
booktitle = "ASEE Southeast Section Conference"
year = "2023"
month = "March"
address = "Arlington, Virginia"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/44984}
number = {10.18260/1-2--44984}
}

TY  - CPAPER
AB  - This paper highlights an industry-driven Project-Based Learning (PBL) activity focusing on developing and evaluating Machine Learning algorithms for anomaly detection in the vibration data in aircrafts to further contribute to the machinery health. The project aims at providing students with an experience similar to what they will face in their career field. Pivotal role in this transforming experience is students’ responsibility to initiate and hold periodic meetings with the Boeing Subject Matter Expert to share results, receive feedback and address comments, as well as with the Team Advisor to evaluate and ensure progress. Though this they (a) comprehend challenges and approaches when working with real world problems, (b) built the ability to communicate with external partners and understand the used language and terminology, (c) function in a team environment, sharing responsibility while being accountable. This report documents both the PBL methodology tailored to engineering activities, along with the engineering innovation outcome and lessons learned.
AU  - Nektaria Tryfona
AU  - Sindhu Chava
AU  - Ayush Dhar
AU  - Taimoor Qamar
AU  - Daniel Newman
CY  - Arlington, Virginia
DA  - 2023/03/12
PB  - ASEE Conferences
TI  - An Industry-driven, Project-based Learning Activity: System Identification based on Vibration Signals using Machine Learning  
UR  - https://peer.asee.org/44984
DO  - 10.18260/1-2--44984
ER  -