Digital twin enhanced fault prediction for the autoclave with insufficient data
Since any faulty operations could directly affect the composite property, making early
prognosis is particularly crucial for complex equipment. At present, data-driven approach …
prognosis is particularly crucial for complex equipment. At present, data-driven approach …
A cloud-to-edge approach to support predictive analytics in robotics industry
Data management and processing to enable predictive analytics in cyber physical systems
holds the promise of creating insight over underlying processes, discovering anomalous …
holds the promise of creating insight over underlying processes, discovering anomalous …
REDTag: a predictive maintenance framework for parcel delivery services
The overwhelming increase of parcel transports has prompted the need for effective and
scalable intelligent logistics systems. In parallel, with the advent of Industry 4.0, a tight …
scalable intelligent logistics systems. In parallel, with the advent of Industry 4.0, a tight …
istep, an integrated self-tuning engine for predictive maintenance in industry 4.0
The recent expansion of IoT-enabled (Internet of Things) devices in manufacturing contexts
and their subsequent data-driven exploitation paved the way to the advent of the Industry …
and their subsequent data-driven exploitation paved the way to the advent of the Industry …
Selective maintenance optimization for a multi-state system with degradation interaction
Z Zhao, B ** a prognostic model using partial discharge data from electrical trees
NHA Aziz - 2018 - stax.strath.ac.uk
Insulation breakdown is a key failure mode of high voltage (HV) equipment, with progressive
faults such as electrical treeing leading to potentially catastrophic failure. Electrical treeing …
faults such as electrical treeing leading to potentially catastrophic failure. Electrical treeing …
A fuzzy inference system approach for diagnostics and prognostics of polymer electrolyte fuel cells
D Low - 2022 - repository.lboro.ac.uk
Climate change is one of the most important global issues currently and is one of this
generations' greatest challenges. With the world's growing population, energy demand …
generations' greatest challenges. With the world's growing population, energy demand …