Joint fault prediction and remaining useful life estimation for large-scale mining equipment based on temporal convolutional network and multi-head self-attention
Reliable operation of large-scale mining equipment governs both production efficiency and the safety of the crews working underground, yet the maintenance strategies still common in the sector either replace healthy parts on a calendar or wait for a breakdown that arrives without warning. This paper proposes a joint...