Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding

B Zhou, T Pychynski, M Reischl, E Kharlamov… - Journal of Intelligent …, 2022 - Springer
Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of
manufacturing data. This opens new horizons for data-driven methods, such as Machine …

工业过程故障根源诊断与传播路径识别技术综述

马亮, 彭开香, 董洁 - 自动化学报, 2022 - aas.net.cn
故障根源诊断与传播路径识别是故障诊断框架下的关键核心问题, 是保障工业过程安全生产及
获得可靠产品质量的有效手段, 是当前过程控制领域的研究热点. 该技术的研究不仅丰富了故障 …

From oscillatory to non-oscillatory disturbances: A comparative review of root cause analysis methods

M Lucke, M Chioua, NF Thornhill - Journal of Process Control, 2022 - Elsevier
This paper reviews existing data-driven methods according to three criteria: the properties of
the method, the impact of the systems through which the disturbance propagates on the …

[HTML][HTML] SemML: Facilitating development of ML models for condition monitoring with semantics

B Zhou, Y Svetashova, A Gusmao, A Soylu… - Journal of Web …, 2021 - Elsevier
Monitoring of the state, performance, quality of operations and other parameters of
equipment and production processes, which is typically referred to as condition monitoring …

Ontology-enhanced machine learning: a Bosch use case of welding quality monitoring

Y Svetashova, B Zhou, T Pychynski, S Schmidt… - The Semantic Web …, 2020 - Springer
In the automotive industry, welding is a critical process of automated manufacturing and its
quality monitoring is important. IoT technologies behind automated factories enable …

Predicting quality of automated welding with machine learning and semantics: a Bosch case study

B Zhou, Y Svetashova, S Byeon, T Pychynski… - Proceedings of the 29th …, 2020 - dl.acm.org
Manufacturing of car bodies heavily relies on demanding welding processes of joining body
parts together that introduce thousands of joining welding spots in each car. Quality …

Enhancing knowledge graph generation with ontology reshaping–Bosch case

D Zhou, B Zhou, Z Zheng, EV Kostylev… - European Semantic …, 2022 - Springer
Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case |
SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal …

The autonomous industrial plant–future of process engineering, operations and maintenance

T Gamer, M Hoernicke, B Kloepper, R Bauer… - Journal of Process …, 2020 - Elsevier
Almost every day we read about new advances in self-driving cars and artificial intelligence.
For autonomous driving, there already exist established standards with six levels describing …

Scaling usability of ML analytics with knowledge graphs: exemplified with a Bosch welding case

B Zhou, D Zhou, J Chen, Y Svetashova… - Proceedings of the 10th …, 2021 - dl.acm.org
Automated welding is heavily used in the automotive industry to produce car bodies by
connecting metal parts with welding spots. Modern welding solutions and manufacturing …

Detrending and denoising of industrial oscillation data

X Lang, Y Zhang, L Xie, P Li, A Horch… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Industrial oscillation recordings are often corrupted by underlying nonstationary trend and
noisy artifacts, which can occlude features of interest and complicate subsequent oscillation …