Emrullah Gultekin

Dec 4, 2024 | mdpi.com | Mehmet Aktaş |Emrullah Gultekin

1. IntroductionThe increasing complexity and autonomy of predictive maintenance systems highlight a critical gap in the current landscape: the absence of robust provenance mechanisms to ensure transparency, accountability, and explainability. As these systems are designed to prevent equipment failures by predicting potential issues before they occur, they inherently rely on complex algorithms, often driven by machine learning.