A5090032740- Gear and Bearing Dynamics Analysis
- Lubricants and Their Additives
- Advanced machining processes and optimization
- Digital Transformation in Industry
- Advanced Fiber Optic Sensors
- Microwave Engineering and Waveguides
- Engineering Diagnostics and Reliability
- Research in Social Sciences
- Sensor Technology and Measurement Systems
- IoT and Edge/Fog Computing
- Big Data and Business Intelligence
- Adhesion, Friction, and Surface Interactions
- Electromagnetic Compatibility and Noise Suppression
- Scheduling and Optimization Algorithms
- Mineral Processing and Grinding
- Advanced Measurement and Detection Methods
- Analytical Chemistry and Sensors
- Metallurgy and Material Forming
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Microwave and Dielectric Measurement Techniques
- Tribology and Lubrication Engineering
- Ultrasonics and Acoustic Wave Propagation
- Industrial Vision Systems and Defect Detection
- Oil and Gas Production Techniques
VTT Technical Research Centre of Finland
2009-2024
University of Oulu
2006-2008
Machine Science
1997-2000
Rolling bearing operation is affected by friction, wear and lubrication mechanisms, fluid dynamics lubricant rheology, material properties, contact mechanics. Changes in rolling surfaces occur due to plastic deformation, wear, fatigue. Wear particles can be formed mixed into the lubricant. Increased levels of vibrations surface degradation monitored sensors. fatigue during diagnosed combining measured interpreted condition monitoring data with theory, conclusions drawn thereof support a...
Industrial cyber-physical systems rely increasingly on data from Internet-of-Things (IoT) devices and other as continuously emerging use cases implement new intelligent features. Edge computing can be seen an extension of the cloud in close physical proximity, which some typical loads are beneficial to run. This article studies analytics application development for integration industrial IoT composition services executed edge cloud. A solution is designed support heterogeneous hardware...
Rolling bearings are a leading cause of equipment breakdowns in electrical machines, underscoring the significance predictive maintenance strategies. However, given methods require high-quality big data, which is challenging to acquire, especially for faulty cases. Simulation models offer an alternative by generating large data sets complement experimental data. involve complex contact-related phenomena, such as slipping and clearance. Therefore, realistic comparable real-world necessitates...
The decreasing prices of monitoring equipment have vastly increased the opportunities to utilize local data, and data processing for wider global web-based purposes. possible amount flowing though different levels can be huge. Now question is how handle this opportunity in both dynamic secure way. paper presents a new concept manage through Internet. based on use Arrowhead Framework (AF) MIMOSA model, selected edge, gateway devices together with cloud computing opportunities. enables...
The ATLANTIS project aims to establish a pioneer pilot infrastructure that will allow the demonstration of key enabling robotic technologies for inspection and maintenance offshore wind farms. be implemented in Viana do Castelo, Portugal, testing, validation with range technology readiness level, near-real/real environments.The can promote transition from traditional methodologies towards automated strategies, remove or reduce need human-in-the-loop, reducing costs improving safety...
One of the key issues in maintenance is to allocate focus and resources those components subsystems which are most unreliable prone failures. In industrial systems, fault tree analysis technique can be used study reliability complex systems their substructures. this paper a application for analyzing online current failure probability purposes presented. The utilizing data connected root causes events. An indication an anomaly case, service action, cumulative loading, etc., or just time...
The introduction of new sensors and affordable measurement devices increases the amount data used in cyber-physical systems various sensing applications. These often grow extensive encompassing not only different kinds sources but also use cases for data. This paper presents a sensor system application architecture outlining requirements on software interfaces connecting devices, executing computational functions hardware platforms, this information to case Key objectives concept include...
Rotor bars are one of the most failure-critical components in induction machines. We present an approach for developing a rotor bar fault identification classifier The developed machine learning-based models based on simulated electrical current and vibration velocity data measured acceleration data. introduce that combines sequential model-based optimization nested cross-validation procedure to provide reliable estimation classifiers’ generalization performance. These methods have not been...
This paper presents three shielded vertical via transition designs applicable in millimeter-wave module packaging from DC up to the F-band. The optimized structures were fabricated using a standard low-temperature co-fired ceramic (LTCC) process. measured scattering parameter results of back-to-back showed an exceptionally wide bandwidth with return losses better than 18 dB 50 GHz. extracted insertion loss values single transitions less about 0.4 at Moreover, full-wave electromagnetic (EM)...
Abstract A high‐performance broadband ball‐grid‐array (BGA) package transition was designed and implemented from DC up to the K a ‐band frequencies. The vertical BGA‐via path starts an organic motherboard (PCB) ends at top surface of low‐temperature cofired ceramic module package. To assess solder joint reliability, large plastic‐core balls with diameter 800 μm were employed. measured insertion loss entire path, including feedlines, better than 0.5 dB (1 dB) 25 GHz (29 GHz). Moreover,...
This paper describes a software toolbox (a library) designed for condition monitoring and diagnosis of machines. implements both new methods prior art is aimed practical down-to-earth data analysis work. The target to improve knowledge the operation behaviour machines processes throughout their entire life-cycles. supports different phases based maintenance with tools that extract essential information automate processing. discusses principles have guided design implemented structure. Case...
Abstract In the offshore industry, environmental conditions typically have a significant effect on operation performance, maintenance, and total costs. this study, predictive maintenance tools were developed in context of floating testbed structure (FTB), cylindrical buoy with features representative needs wind foundations. The FTB was measured dynamically statistically over local weather at harbor Portugal. A digital twin constructed using data to assess mooring line loads hydrodynamic...
A high-performance ball-grid-array (BGA) package transition applicable in high-speed digital and millimetre-wave module packaging has been designed fabricated. Measured results agreed well with full-wave electromagnetic simulations, showing return insertion loss values better than 17 dB 1 dB, respectively, up to 47 GHz.
Online condition monitoring of motors has the potential to significantly reduce costs related maintenance, improve operational safety and increase lifetime systems. Machine integrated sensor systems, with wireless readout can enable seamless deployment such This paper presents a system developed for online critical point wear in rotating machines; axle-bearing interface motor. An acceleration is into 3D printed motor axle along its wiring provide an on end. A communications developed. Spin...