A comparative evaluation of neural networks and hidden Markov models for monitoring turning tool wear

TOOL WEAR MONITORING OF TURNING OPERATIO

TOOL WEAR MONITORING OF TURNING OPERATIONS BY NEURAL NETWORK AND EXPERT SYSTEM CLASSIFICATION OF A FEATURE SET GENERATED FROM MULTIPLE SENSORS

✍ R.G. Silva; R.L. Reuben; K.J. Baker; S.J. Wilcox 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 295 KB

Feature extraction and decision-making is a matter of considerable interest for condition monitoring of complex phenomena with multiple sensors. In tool wear monitoring, the extraction of subtle aspects of signals from a range of transient and static events offers a special challenge for diagnostic