3 accepted papers
In prognostic and health management (PHM), the remaining useful life (RUL) prediction is one of the key tasks. However, a complete run-to-failure record (with label) is not always available on some specific machines, for example, the new machine. To address the issue, the new machine may refer to ot
Prognostic and health management (PHM) has been widely used in manufacturing system, particularly, for predictive maintenance (PdM). The purpose of PdM is to predict whether equipment or parts is in health. Typically, the statistical exponential models with the health index were often applied for th
With the development of deep learning, data-driven approaches have shown great success in the semiconductor manufacturing. For example, wafer bin maps (WBM) recognition is a critical application to identify failure modes and finding root-cause to reduce yield loss. However, the WBM studies provide s