Sensor signals produced in industrial manufacturing processes contain valuable information
about the condition of operations. However, extracting the appropriate feature for effective …

Condition monitoring and fault diagnosis in modern manufacturing automation is of great
practical significance. It improves quality and productivity, and prevents damage to …

In this paper, a new methodology is presented for developing a diagnostic system using
waveform signals with limited or with no prior fault information. The key issues studied in this …

When a fault occurs in a process, it slowly propagates within the system and affects the
measurements triggering a sequence of alarms in the control room. The operators are …

In the field of prognostics and health management, process monitoring is an essential
technique to equip the system with the intelligence of being “aware” of any faults. Owing to …

Metal stamping process plays a very important role in the modern manufacturing industry.
Owing to an ever-increasing demand for better quality at reduced cost, a practical on-line …

Abstract Hidden Markov models (HMMs) perform parameter estimation based on the forward–
backward (FB) procedure and the Baum–Welch (BW) algorithm. The two algorithms together …

Online condition monitoring and diagnosis systems play an important role in the modern
manufacturing industry. This paper presents a novel method to diagnose the degradation …

In this paper, a robust approach to process monitoring and diagnosis based on hidden
Markov models with time-varying transition probabilities is proposed. We model …

Since continuous real-time components or equipment condition monitoring is not available
for injection molding machines, we propose a predictive maintenance approach that uses …