Dynamic condition monitoring method based on dimensionality reduction techniques for data-limited industrial environments

•Dimensionality reduction can be dynamically used to monitor data-limited scenarios.•Dimensionality reduction helps getting insight and reducing noise from the data.•Besides accuracy, other metrics need to be addressed to implement algorithms.•Domain knowledge is key for the implementation of condition monitoring.