Tiedo Tinga

Tiedo Tinga

Universiteit Twente

H-index: 33

Europe-Netherlands

About Tiedo Tinga

Tiedo Tinga, With an exceptional h-index of 33 and a recent h-index of 27 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Maintenance, physics of failure, structural health monitoring, Reliability.

His recent articles reflect a diverse array of research interests and contributions to the field:

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)

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

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

Decision framework for predictive maintenance method selection

A Comparison of Optical Sensing Systems with Piezo-Electric Sensors for Impact Identification of Composite Plates

Selection of a suitable wear model for implementation in a generic rail damage function

Data-driven maintenance of military systems: Potential and challenges

Tiedo Tinga Information

University

Position

and Netherlands Defence Academy

Citations(all)

3213

Citations(since 2020)

2244

Cited By

1814

hIndex(all)

33

hIndex(since 2020)

27

i10Index(all)

59

i10Index(since 2020)

50

Email

University Profile Page

Universiteit Twente

Google Scholar

View Google Scholar Profile

Tiedo Tinga Skills & Research Interests

Maintenance

physics of failure

structural health monitoring

Reliability

Top articles of Tiedo Tinga

Title

Journal

Author(s)

Publication Date

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

Engineering Applications of Artificial Intelligence

Axel Homborg

Arjan Mol

Tiedo Tinga

2024/7/1

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

Journal of Materials Research and Technology

Laura Cordova

Ton Bor

Eric Macía Rodríguez

Tiedo Tinga

Mónica Campos

2024/5/1

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

Data in brief

Sietze Bruinsma

RD Geertsma

Richard Loendersloot

Tiedo Tinga

2024/2/1

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

Advances in mechanical engineering

Nubia Nale Alves da Silveira

Annemieke A Meghoe

Tiedo Tinga

2023/6/26

Decision framework for predictive maintenance method selection

Applied Sciences

Wieger Tiddens

Jan Braaksma

Tiedo Tinga

2023/2/3

A Comparison of Optical Sensing Systems with Piezo-Electric Sensors for Impact Identification of Composite Plates

STRUCTURAL HEALTH MONITORING 2023

Natália Ribeiro Marinho

Richard Loendersloot

FRANK GROOTEMAN

JAN WILLEM WIEGMAN

TIEDO TINGA

2023

Selection of a suitable wear model for implementation in a generic rail damage function

Annemieke A Meghoe

Richard Loendersloot

Tiedo Tinga

2023/6/13

Data-driven maintenance of military systems: Potential and challenges

Tiedo Tinga

AM Homborg

Chris Rijsdijk

2023/4

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

Advances in Bridge Engineering

Neda Mostafa

Dario Di Maio

Richard Loendersloot

Tiedo Tinga

2023/10/9

Exploiting high frequency waves for SHM using 3D SLDV system: what can we learn more?

Natália Ribeiro Marinho

Dario Di Maio

Richard Loendersloot

Tiedo Tinga

2023/3/28

Deterioration modeling of sewer pipes via discrete-time Markov chains: A large-scale case study in the Netherlands

arXiv preprint arXiv:2310.01888

Lisandro A Jimenez-Roa

Tom Heskes

Tiedo Tinga

H Molegraaf

Mariëlle Stoelinga

2023/10/3

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

International Journal of Prognostics and Health Management

Annemieke A Meghoe

Richard Loendersloot

Tiedo Tinga

2023/3/11

Framework for predictive maintenance method selection

Wieger Willem Tiddens

Jan Braaksma

Tiedo Tinga

2022/9

Dynamics-based impact identification method for composite structures

Natália Ribeiro Marinho

Richard Loendersloot

Tiedo Tinga

Frank Grooteman

2022/10

Exploring predictive maintenance applications in industry

Journal of quality in maintenance engineering

Wieger Tiddens

Jan Braaksma

Tiedo Tinga

2022/2/11

Atmospheric Corrosion Prognostics Using a Particle Filter

Luc S Keizers

Richard Loendersloot

Tiedo Tinga

2022/8/28

Predictive Maintenance Models for Military Aircraft Systems

Nick Heerink

Richard Loendersloot

Tiedo Tinga

2022/10

Identificação não linear altamente sensível para rastrear sinais de fadiga precoces em estruturas flexíveis

Ed M Habtour

Thijs Masmeijer

Laura Cordova Gonzalez

Tiedo Tinga

2022

Uncertainty propagation in rail wear prediction using an analytical method and field observations

Annemieke A Meghoe

Richard Loendersloot

Tiedo Tinga

2022/8/22

Feature Selection for Failure Recognition: Comparing Vibration Analysis and Motor Current Signature Analysis

Sietze Bruinsma

Tiedo Tinga

R Geertsma

Richard Loendersloot

2022/10

See List of Professors in Tiedo Tinga University(Universiteit Twente)

Co-Authors

H-index: 59
Paul Havinga

Paul Havinga

Universiteit Twente

H-index: 58
R.H. Teunter

R.H. Teunter

Rijksuniversiteit Groningen

H-index: 57
Arjan Mol

Arjan Mol

Technische Universiteit Delft

H-index: 42
remko akkerman

remko akkerman

Universiteit Twente

H-index: 32
Emile van der Heide

Emile van der Heide

Universiteit Twente

H-index: 20
Grimmelius

Grimmelius

Technische Universiteit Delft

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