Tiedo Tinga

University of Twente

Netherlands

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Articles (25)

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2025

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2022

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2021

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2021

Collaborators (13)

Tom Heskes

Professor

Radboud University

NETHERLANDS

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Zaharah Allah Bukhsh

Eindhoven University of Technology

NETHERLANDS

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Annemieke; Meghoe;

University of Twente

NETHERLANDS

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Marielle Stoelinga

University of Twente

NETHERLANDS

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Richard Loendersloot

Prof. at University of Twente

University of Twente

NETHERLANDS

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Axel Homborg

Associate Professor

NETHERLANDS

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Arjan Mol

Delft University of Technology

NETHERLANDS

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Jan Braaksma

Manager chair / Associate Professor Asset Management & Management Engineering

University of Twente

NETHERLANDS

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MONICA CAMPOS

Full Professor

Universidad Carlos III de Madrid Escuela Politécnica Superior

SPAIN

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Nubia Nale Silveira

University of Twente

NETHERLANDS

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Nils Jansen

Associate Professor

Radboud University

NETHERLANDS

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Laura Cordova

University of Twente

NETHERLANDS

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Ed Habtour

assistant professor

UNITED STATES

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Tiedo Tinga

Research Interests

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Articles (25)

Automated tacholess rotational speed estimation on asynchronous motors for improved vibration analysis

Bond graphs for quantitative fault diagnostics to support Bayesian filtering-based failure prognostics

Non-collinear wave mixing to determine physical ageing in PVC pipelines

Bayesian filtering based prognostic framework incorporating varying loads

Evaluating sensor performance for impact identification in composites: a comprehensive comparison of FBGs with PZTs

Application of transfer learning on physics-based models to enhance vessel shaft power predictions

Impact Identification Method for Structural Health Monitoring of Stiffened Composite Panels using Passive Sensing Systems

Towards a Hybrid Framework for Prognostics with Limited Run-to-Failure Data

Motor current and vibration monitoring dataset for various faults in an E-motor-driven centrifugal pump

Quantifying the suitability and feasibility of predictive maintenance approaches

Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning

Corrosion classification through deep learning of electrochemical noise time-frequency transient information

In-situ mechanical and microstructural characterization of miniaturized Al-Mg-Sc-Zr and AlSi10Mg specimens processed by laser powder-bed fusion (PBF-LB)

Intelligent Petri Nets Based Maintenance Decision-Making Model Considering RCF Degradation

Validation of a physics-based prognostic model with incomplete data: a rail wear case study

Integration of multiple failure mechanisms in a life assessment method for centrifugal pump impellers

Decision Framework for Predictive Maintenance Method Selection

The influence of vehicle dynamics on the time-dependent resonances of a bridge

Railway bridge damage detection based on extraction of instantaneous frequency by Wavelet Synchrosqueezed Transform

Automatic inference of fault tree models via multi-objective evolutionary algorithms

Highly Sensitive Nonlinear Identification to Track Early Fatigue Signs in Flexible Structures

Exploring predictive maintenance applications in industry

Extracting the time‐dependent resonances of a vehicle–bridge interacting system by wavelet synchrosqueezed transform

A hybrid predictive methodology for head checks in railway infrastructure

Unscented Kalman Filtering for Prognostics Under Varying Operational and Environmental Conditions

Collaborators (13)

Tom Heskes

Zaharah Allah Bukhsh

Annemieke; Meghoe;

Marielle Stoelinga

Richard Loendersloot

Axel Homborg

Arjan Mol

Jan Braaksma

MONICA CAMPOS

Nubia Nale Silveira

Nils Jansen

Laura Cordova

Ed Habtour

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