Open Internet by MindsNet

Predicting Machine Failure with Imbalanced Dataset

The problem involves predicting machine failure and Remaining Useful Life (RUL) using a dataset with 100,000 entries, but only 56 of them are labeled as failures. This extreme imbalance makes it difficult to train accurate models. The goal is to find suitable algorithms or deep learning techniques to address this issue.

Computing & Technology, Computer Science, Data Structures & Algorithms