Heavy machinery allows for the efficient, precise, and safe management of large-scale
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …

Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …

Remote manufacturing process monitoring is becoming more popular in industry for many
reasons including increased production, reduced production costs, and better product …

This critical review provides a comprehensive analysis of various condition monitoring
techniques pivotal in additive manufacturing (AM) processes. The reliability and quality of …

Vibration-based condition monitoring plays an important role in maintaining reliable and
effective heavy machinery in various sectors. Heavy machinery involves major investments …

In the modern manufacturing system, the industrial automation plays an important role in
improving the efficiency, productivity, and overall performance of the system by increasing …

The advancements in smart sensors for Industry 4.0 offer ample opportunities for low-
powered predictive maintenance and condition monitoring. However, traditional approaches …

Efficient diagnosis of machine faults is important for predictive maintenance and asset
management of industrial systems. This paper investigates acoustic techniques as a non …

Acoustic imaging systems construct spatial maps of sound sources and have potential in
various applications, but large, cumbersome form factors limit their adoption. This paper …

Fault detection is important for providing the reliability as well as efficiency of many different
systems and processes. Choosing an appropriate assessment metric is important because it …