20th IMEKO TC10 Conference on "Measurement for Diagnostics, Optimization and Control to Support Competitiveness and Innovation"

Contribution List

10. Accurate 3D Reconstruction of TGVs Using Hybrid Mesh–NURBS Modeling with Z-Axis Constraints and RL-Based Optimization

Prof. Chao-Ching Ho (National Taipei University of Technology)

Oral presentation

Through-glass vias (TGVs) are critical for high-density semiconductor packaging; however, their internal waist geometry remains difficult to measure using non-destructive techniques. This study proposes an integrated 3D reconstruction framework combining NURBS-based parametric modeling, triangular mesh fitting, and Z-axis boundary constraints to ensure geometric accuracy. Experimentally...

24. Advanced Validation Methodology for KPI-Based Robotic Condition Monitoring in an Industry 4.0 Framework

Prof. Giulio D'Emilia (University of L'Aquila), antonella gaspari (Polythecnic University of Bari)

T3 - Condition monitoring and maintenance of industrial processes, plants and complex systems.

Oral presentation

In this work, a methodology is presented for the advanced validation of KPI-based condition monitoring systems applied to industrial robotics. The proposed approach is demonstrated through a test case involving an industrial robotic arm equipped with ICP accelerometers for high-fidelity vibration measurements. The acquired signals are collected by a high-speed DAQ system and processed in real...

16. Anomaly detection of ventilation fan by training a variational auto-encoder with current waveforms of brushless DC motor

Yuko Hiranaka

T3 - Condition monitoring and maintenance of industrial processes, plants and complex systems.

Oral presentation

Anomalies in motor-driven equipment can be detected potentially by measuring the current of the driving motor. We attempt to utilize unsupervised learning of motor current to detect load fluctuations and bearing anomalies in ventilation fans. By training a variational auto-encoder on the cyclic current waveforms of a motor under normal conditions, anomalies—such as deviations in cycle length,...

13. Application-Oriented Assessment of the Usable Dynamic Bandwidth of Low-Cost MEMS Accelerometers Under Multi-g Sinusoidal Excitation

Marco Carratù (University of Salerno)

T2 - Sensors, signal acquisition and processing for Diagnostics, Optimization & Control.

Oral presentation

Low-cost MEMS accelerometers are widely employed in embedded sensing, industrial monitoring, automotive electronics, and Industry 4.0 systems because of their low cost, compactness, and ease of integration. However, in dynamic applications, practical deployment requires more than nominal datasheet specifications. The key question is whether the sensor remains fit for purpose over the frequency...

19. Custom Eddy Current Probe Design and Automated Defect Mapping for Multistrand Carbon Fiber Cables

Francisco Bolinhas (NOVA School of Science and Technology)

T2 - Sensors, signal acquisition and processing for Diagnostics, Optimization & Control.

Oral presentation

This work presents the development of a customised eddy current testing system for the non-destructive inspection of multistrand carbon fibre reinforced polymer (CFRP) cables through their protective braided sheath. The study covers probe geometry optimisation via finite element simulation, experimental validation on cables with artificial defects of varying morphologies, and the development...

14. Data-driven feedforward iterative tuning for MLPM with position-dependent nonlinearities

Li Li (Harbin Institute of Technology)

Oral presentation

To address spatial nonlinear coupling and position-dependent additive and multiplicative disturbances in Magnetically Levitated Planar Motor (MLPM) caused by decoupling mismatch, this paper proposes a data-driven position-dependent nonlinear feedforward iterative tuning method. Unlike conventional polynomial feedforward approaches, the proposed rational feedforward controller uses its...

28. Development and Preliminary Assessment of an Autonomous System for Monitoring Inclination and Rotation in Inclinometer Casings

Bernardo Jesus (LNEC)

Oral presentation

This paper presents the development and preliminary laboratory assessment of an autonomous system for inclinometer monitoring capable of simultaneously measuring the inclination and rotation in inclinometer casings. The solution addresses limitations of conventional inclinometric systems, which typically neglect casing twist and often rely on manual or partially automated operation. The system...

33. Fault location and identification in the RIAA equalizer based on the frequency analysis

Piotr Bilski (Warsaw University of Technology)

T5 - Artificial intelligence, machine learning and data science for Diagnostics, Optimization & Control.

Oral presentation

The paper presents the approach to diagnose
the RIAA equalizer, which is widely used in the high
quality audio industry during the music recording. As
the circuit is discrete, it is possible to select the partially
accessible nodes for response measurement, therefore
analysis of their usefulness for the fault location and
identification. The cumulative power of the response at
each node...

12. Feature Selection for EDM Process Optimization in Manufacturing

Anh Tuan Hoang, Dr Zsolt Janos Viharos (Institute for Computer Science and Control (SZTAKI))

T5 - Artificial intelligence, machine learning and data science for Diagnostics, Optimization & Control.

Oral presentation

Electrical Discharge Machining (EDM) is a widely applied manufacturing process where performance is strongly influenced by multiple interacting technological parameters. This study presents a data-driven approach for analysing and reducing the dimensionality of EDM process parameters using feature selection methods. An industrial dataset containing six input parameters and time-related outputs...

22. Force‑Instrumented Reaction Wall for Dynamic Testing on LNEC’s 3D Shaking Table

Fernando Oliveira (Laboratório Nacional de Engenharia Civil)

T2 - Sensors, signal acquisition and processing for Diagnostics, Optimization & Control.

Oral presentation

This communication presents a newly developed test set-up with force measurement capability, recently developed and installed to enable static and dynamic tests on the LNEC’s 3D shaking table facility. The system consists of a reaction wall equipped with a force sensing device anchored to the laboratory’s rigid floor, providing high structural stiffness and accommodating static and dynamic...

26. Geometrical characterization of evacuation routes from Terrestrial Laser Scanner point clouds

Giulio D'Emilia (University of l'Aquila)

Oral presentation

In emergency evacuation analysis, the geometric characterization of walking surfaces is a key factor influencing safety conditions and pedestrian behavior. While floor inclination is commonly evaluated from point cloud data, this parameter alone may not adequately reflect a surface's actual walkability, particularly in the presence of local irregularities. This work introduces a metrological...

32. Incremental Modernization of Legacy Hydraulic Metrology Infrastructure Using Open-Source Edge Architectures.

Gustavo Esteves Coelho (Laboratório Nacional de Engenharia Civil (LNEC))

Oral presentation

Legacy industrial infrastructures supporting critical metrology operations increasingly face maintenance and cybersecurity challenges due to obsolete proprietary technologies and centralized monolithic architectures. This work presents an incremental modernization strategy for the Unit of Hydraulic Metrology (UHM) at the Portuguese National Laboratory for Civil Engineering (LNEC), recognized...

11. LPV Feedforward Iterative Tuning for a Cam-Driven Precision Motion Stage

Li Li (Harbin Institute of Technology)

T7 - Methods and algorithms for real-time Diagnostics, Optimization & Control.

Oral presentation

This paper proposes a data-based Linear Parameter-Varying (LPV) feedforward iterative tuning method for a cam-driven precision motion stage with position-dependent nonlinear gain. To overcome the limitations of standard Linear Time-Invariant (LTI) control method, the proposed feedforward controller is parameterized using position-velocity coupled polynomial basis functions. Embedding...

20. Parallelized Reinforcement Learning Environment for Industrial Production Optimization

Dr Zsolt Janos Viharos (Institute for Computer Science and Control (SZTAKI))

T5 - Artificial intelligence, machine learning and data science for Diagnostics, Optimization & Control.

Oral presentation

Abstract – Reinforcement Learning (RL) has shown strong potential in optimizing production and manufacturing systems, where complex decisionmaking processes can be modeled as sequential control problems. However, training RL agents in such environments is often computationally expensive and sensitive to stochasticity, leading to unstable learning dynamics and long convergence times. This paper...

18. Point Cloud-Based and Multi-Source Data Fusion for Monitoring the State of Conservation of the Defensive Walls of the Historic Town of Mértola, Portugal

Sara Daniela Pires (LNEC - National Laboratory for Civil Engineering)

Oral presentation

This paper presents a multi-source point cloud methodology for the conservation state monitoring and three-dimensional documentation of the defensive walls of the Historic Town of Mértola, Portugal. Two Terrestrial Laser Scanner (TLS) campaigns conducted with a 5-month interval were compared to detect and map inter-annual structural displacements along a critical wall section. A partial wall...

23. Proposal for Design and Preliminary Testing of an Affordable In-Place Inclinometer System for Geotechnical Monitoring

Ricardo Correia dos Santos (LNEC)

Oral presentation

Precision geotechnical monitoring is vital for infrastructure safety, yet traditional manual methods for inclinometer measurements suffer from intermittent data collection, creating "temporal gaps" that hide potential failures. While commercial In-Place Inclinometer (IPI) systems offer continuous monitoring, their high cost and mechanical complexity make large-scale deployment unviable. The...

27. Simulation-Based Measurement of Information Value in Circular Economy Networks

László Zahorán (HUN-REN SZTAKI)

T11 - Digital transformation.

Circular economy networks require not only physical recovery capabilities, but also timely information about inventories, repair status, remanufacturing progress, and expected availability. Reusable products or components may already exist somewhere in the network, or may become available after repair or remanufacturing, but these resources cannot support fulfilment decisions if they remain...

21. Single-Agent Reinforcement Learning in MultiAgent Production Environments: Effects of Action and Observation Overlap

Bence Pálvölgyi (HUN-REN SZTAKI)

T5 - Artificial intelligence, machine learning and data science for Diagnostics, Optimization & Control.

Oral presentation

Abstract – Reinforcement Learning (RL) has demonstrated strong performance in production and manufacturing systems, where decision processes can be modeled as single-agent environments with welldefined state and action spaces. However, more complex real-world production processes inherently involve multiple interacting entities, making MultiAgent Reinforcement Learning (MARL) the natural tool...

17. State of Charge Estimation of Energy Storage Systems using a Flexible Reward based Reinforcement Learning Approach

Dr Valentina Bianchi (Università di Parma)

Oral presentation

Abstract – A flexible reward-based reinforcement learning (RL) approach for the state of charge (SoC) estimation of energy storage systems (ESSs) i.e. a Lithium-ion battery (LiB) and a hybrid supercapacitor (HSC), is presented in this research. The data acquisition for the Panasonic 18650 LiB is carried out through constant current – constant voltage (CC-CV) procedure whereas, for the...

29. Testing a Low Processing Methodology for Intermittent Fault Detection in Power Distribution Grids with Low Impedance Neutral

António José Arsénio Costa (LNEC)

T4 - Failure & fault detection and prognosis.

Oral presentation

The massive integration of new power
generation plants using decentralised renewable
energy resources (DER) implies an expansion of the
electrical distribution power grid with the construction
of more transmission lines and substations. With this
expansion, the probability of the occurrence of
permanent and intermittent faults will increase.
The time interval and duration of...

2. The New Inmetro Seal as a Digitally Verifiable Conformity Mark: Digital Verification, Fraud Detection and Quality Infrastructure

Leonardo Batista Paiva (National Institute of Metrology, Quality and Technology (Inmetro))

T11 - Digital transformation.

Oral presentation

This paper examines the new Inmetro seal as a digitally verifiable conformity mark and as a visible market-facing expression of quality infrastructure outcomes in Brazil. Building on the problem of information asymmetry and on recent discussions about label credibility, digital traceability, and verifiable conformity information, it argues that the seal acquires a new functional role when...

31. Towards Metrologically Grounded Sensor-Network Digital Twins for Structural Health Monitoring

João Paulo Narciso dos Reis (National Laboratory for Civil Engineering)

Oral presentation

Long-term structural health monitoring (SHM) depends on sensor readings whose metrological validity may change over time. The installed sensors pose a metrological challenge when periodic laboratory calibration is impractical or impossible. This paper proposes a lakehouse-supported conceptual architecture for a metrologically grounded sensor-network digital twin whose twinned object is the...

30. Vibration Characterization of Gamepad Haptic Actuators: A Multi-Axis Measurement Approach with Spectral and Thermal Investigation

Ms Sara Kasapovic (Faculty of technical sciences, University of Novi Sad, Serbia)

T2 - Sensors, signal acquisition and processing for Diagnostics, Optimization & Control.

Oral presentation

This paper presents an extended investigation building upon a previously established compact multi-axis vibration measurement platform for the characterization of haptic actuators in consumer gamepad controllers. The system employs three MPU-6500 MEMS accelerometers interfaced to a RP2040 microcontroller via SPI, enabling synchronized tri-axial acceleration acquisition at up to 2 kHz across...

25. When Multimodal Fusion Fails: A Study of Pose-Vibration Fusion for Robot Fault Diagnosis

Zeqi Wei (Xi'an Jiaotong University), Prof. Ruqiang Yan (Xi'an Jiaotong University)

T5 - Artificial intelligence, machine learning and data science for Diagnostics, Optimization & Control.

Oral presentation

Industrial robots inevitably suffer from performance degradation and mechanical faults during long-term operation, making accurate fault diagnosis essential for ensuring system reliability and reducing maintenance costs. Recently, multimodal fault diagnosis methods have attracted increasing attention because multiple sensor modalities are generally assumed to provide complementary fault...