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Experiments with the bonding machine Show image information
Quality evaluation of bonded interconnects using a shear tester. Show image information
Reliability analysis of a friction clutch. Show image information
Lab work in teaching. Show image information
Transport of fine powder using ultrasonic vibrations Show image information

Experiments with the bonding machine

Quality evaluation of bonded interconnects using a shear tester.

Reliability analysis of a friction clutch.

Lab work in teaching.

Transport of fine powder using ultrasonic vibrations

Dynamics and Mechatronics (LDM)

Members of the Chair of Dynamics and Mechatronics

Meike Wohlleben

Contact
Publications
 Meike  Wohlleben

Dynamics and Mechatronics (LDM)

Research Associate - Hybrid Modeling

Phone:
+49 5251 60-1819
Fax:
+49 5251 60-1803
Office:
P1.3.04
Office hours:

Termin nach Vereinbarung

Web:
Visitor:
Pohlweg 47-49
33098 Paderborn

Open list in Research Information System

2021

Rule-based Diagnostics of a Production Line

O.K. Aimiyekagbon, L. Muth, M.C. Wohlleben, A. Bender, W. Sextro, in: Proceedings of the European Conference of the PHM Society 2021, 2021, pp. 527-536

In the industry 4.0 era, there is a growing need to transform unstructured data acquired by a multitude of sources into information and subsequently into knowledge to improve the quality of manufactured products, to boost production, for predictive maintenance, etc. Data-driven approaches, such as machine learning techniques, are typically employed to model the underlying relationship from data. However, an increase in model accuracy with state-of-the-art methods, such as deep convolutional neural networks, results in less interpretability and transparency. Due to the ease of implementation, interpretation and transparency to both domain experts and non-experts, a rule-based method is proposed in this paper, for prognostics and health management (PHM) and specifically for diagnostics. The proposed method utilizes the most relevant sensor signals acquired via feature extraction and selection techniques and expert knowledge. As a case study, the presented method is evaluated on data from a real-world quality control set-up provided by the European prognostics and health management society (PHME) at the conference’s 2021 data challenge. With the proposed method, our team took the third place, capable of successfully diagnosing different fault modes, irrespective of varying conditions.


Open list in Research Information System

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