Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder

MLA

Sub Algorithmic Data Analysis, et al. Developing Health Indicators and RUL Prognostics for Systems with Few Failure Instances and Varying Operating Conditions Using a LSTM Autoencoder. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1395383973&authtype=sso&custid=ns315887.

APA

Sub Algorithmic Data Analysis, Algorithmic Data Analysis, Mitici, M., & de Pater, I. (2023). Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder.

Chicago

Sub Algorithmic Data Analysis, Algorithmic Data Analysis, Mihaela Mitici, and Ingeborg de Pater. 2023. “Developing Health Indicators and RUL Prognostics for Systems with Few Failure Instances and Varying Operating Conditions Using a LSTM Autoencoder.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1395383973&authtype=sso&custid=ns315887.