Industrial Cyber-Physical Systems have benefitted substantially from the introduction of a range technology enablers. These include web-based and semantic computing, ubiquitous sensing, internet things (IoT) with multi-connectivity, advanced computing architectures digital platforms, coupled edge or cloud side data management analytics, contributed to shaping up enhanced new value chains in manufacturing. While parts such flows are increasingly automated, there is now greater demand for more...

Modern industrial facilities, as well vehicles and many other assets, are becoming highly automated instrumented.As a consequence, actuators required to perform wide variety of tasks, often for linear motion.However, the use tools monitor condition is not widely extended in applications.This paper presents data-based method electro-mechanical actuators.The proposed algorithm makes features extracted from electric current position measurements, typically available controller, detect diagnose...

The final phase of powder production typically involves a mixing process where all the particles are combined and agglomerated with binder to form single compound. traditional means inspecting physical properties product an inspection particle sizes using offline sieving weighing process. main downside this technique, in addition being offline-only measurement procedure, is its inability characterise large agglomerates powders due sieve blockage. This work assesses feasibility real-time...

Procter and Gamble (P&G) require an online system that can monitor the particle size distribution of their washing powder mixing process. This would enable process to take a closed loop form which optimisation place in real time. Acoustic Emission (AE) was selected as sensing method due its non-invasive nature primary sensitivity frequencies events emanate. work details results first experiment carried out this research project. involved use AE distinguish between sizes sieved polyethylene...

This works investigates the possibility of using Acoustic Emissions (AE) to estimate Particle Size Distribution (PSD) a mixture particles that comprise different densities and geometry. The experiments carried out involved set glass polyethylene ranged from 150-212 microns 150-250microns respectively an experimental rig allowed free fall continuous stream on target plate which AE sensor was placed. By time domain based multiple threshold method, it observed PSD in could be estimated.

The current maintenance of railway infrastructure replies heavily on human involvement, requiring possession the track section during maintenance, resulting in high costs and inefficient execution. This paper proposes an autonomous rail-road amphibious robotic system for inspection tasks. By virtue its road rail-autonomous mobility, it is able to execute complete execution flow multiple phases. provides flexible job location access, low-cost execution, reduced network possession. payload...

The diagnosis of bearing faults at the earliest stage is critical in avoiding future catastrophic failures. Many diagnostic techniques have been developed and applied for such purposes, however, these traditional are not always successful when fault occurs within a gearbox where vibration response complex; under circumstances it may be necessary to separate signature. This paper presents comparative study four different signature separation gearbox. effectiveness individual were compared...

Time-series change detection has been studied in several fields. From sensor data, engineering systems, medical diagnosis, and financial markets to user actions on a network, huge amounts of temporal data are generated. There is need for clear separation between normal abnormal behaviour the system order investigate causes or forecast change. Characteristics include irregularities, deviations, anomalies, outliers, novelties surprising patterns. The efficient such patterns challenging,...

When closed loop product lifecycle management was first introduced, much effort focused on establishing ways to communicate data between different phase activities. The concept of a smart product, able its own identity and status, had key role play this end. Such has further matured, benefiting from internet things-enabled advancements. Product exchanges can now be brought closer the point end use consumption, enabling users become more proactive actors within process. This paper presents...

For many powder processes, the particle size distribution (PSD) is a key quality attribute of flow properties process powders. This paper presents method for estimating PSD with acoustic emissions (AE) by implementing time domain-based threshold approach followed extraction amplitude mean from each set and correlation to size. The experiments were carried out using powder-free fall experimental rig, glass beads, while acquired data analyzed designed signal analysis method. results showed...

Particle processing plants regard the Size Distribution (PSD) as a key quality factor it influences bulk and flow properties of particles. In this work, Acoustic Emission (AE) is used to estimate PSD mixture that comprise similar sized The experiments involved use regular particles (glass beads) with aid time domain based threshold analysis particle impacts mixtures could be estimated.

The early detection and diagnosis of faults can improve the energy efficiency industrial processes by avoiding inefficient operation faulty equipment as well minimizing unplanned shutdowns, downtime extensive damage to other parts system. In addition, needs are evolving fast towards more flexible schemes. As a consequence, it is often required adapt plant production demand, which be volatile depending on application. This why important develop tools that monitor condition process working...