A review of real-time fault diagnosis methods for industrial smart manufacturing
In the era of Industry 4.0, highly complex production equipment is becoming increasingly
integrated and intelligent, posing new challenges for data-driven process monitoring and …
integrated and intelligent, posing new challenges for data-driven process monitoring and …
A review of artificial intelligent methods for machined surface roughness prediction
H Yang, H Zheng, T Zhang - Tribology International, 2024 - Elsevier
With the increasing demand for ultra-precision machining parts in the industrial field, surface
roughness, as a key quality indicator, faces dual challenges of precision and speed in …
roughness, as a key quality indicator, faces dual challenges of precision and speed in …
A new lightweight deep neural network for surface scratch detection
This paper aims to develop a lightweight convolutional neural network, WearNet, to realise
automatic scratch detection for components in contact sliding such as those in metal forming …
automatic scratch detection for components in contact sliding such as those in metal forming …
AM-SegNet for additive manufacturing in situ X-ray image segmentation and feature quantification
Synchrotron X-ray imaging has been utilised to detect the dynamic behaviour of molten
pools during the metal additive manufacturing (AM) process, where a substantial amount of …
pools during the metal additive manufacturing (AM) process, where a substantial amount of …
A Novel hybrid artificial bee colony-based deep convolutional neural network to improve the detection performance of backscatter communication systems
Backscatter communication (BC) is a promising technology for low-power and low-data-rate
applications, though the signal detection performance is limited since the backscattered …
applications, though the signal detection performance is limited since the backscattered …
AI-based computer vision techniques and expert systems
Y Matsuzaka, R Yashiro - AI, 2023 - mdpi.com
Computer vision is a branch of computer science that studies how computers can 'see'. It is a
field that provides significant value for advancements in academia and artificial intelligence …
field that provides significant value for advancements in academia and artificial intelligence …
OCR applied for identification of vehicles with irregular documentation using IoT
Given the lack of investments in surveillance in remote places, this paper presents a
prototype that identifies vehicles in irregular conditions, notifying a group of people, such as …
prototype that identifies vehicles in irregular conditions, notifying a group of people, such as …
Parameter estimation techniques for photovoltaic system modeling
In improving PV system performance, the parameters associated with electrical photovoltaic
equivalent models play a pivotal role. However, due to the increased mathematical …
equivalent models play a pivotal role. However, due to the increased mathematical …
AI for tribology: Present and future
With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …
Fault diagnosis techniques for nuclear power plants: a review from the artificial intelligence perspective
Fault diagnosis plays an important role in complex and safety-critical systems such as
nuclear power plants (NPPs). With the development of artificial intelligence (AI), extensive …
nuclear power plants (NPPs). With the development of artificial intelligence (AI), extensive …