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Matti Rantatalo
Observed names:
M Rantatalo,
M. Rantatalo,
Matti RANTATALO,
Rantatalo, Matti
Institutions:
Swedish Transport Administration,
Luleå University of Technology
Observed institutions:
Swedish Transport Administration,
Luleå University of Technology,
TWI (United Kingdom),
Järnvägstekniskt centrum,
Finnish Transport Infrastructure Agency
ORCID:
0000-0002-8471-4494
Observed ORCID:
0000-0002-8471-4494
OpenAlex ID:
A5029668557
Improving mesh stiffness calculation of cracked gears for the purpose of vibration-based fault analysis
2013
·
Omar D. Mohammed
, Matti Rantatalo
, et al.
·
Engineering Failure Analysis
·
170
Dynamic modelling of a one-stage spur gear system and vibration-based tooth crack detection analysis
2014
·
Omar D. Mohammed
, Matti Rantatalo
, et al.
·
Mechanical Systems and Signal Processing
·
152
Gear fault models and dynamics-based modelling for gear fault detection – A review
2020
·
Omar D. Mohammed
, Matti Rantatalo
·
Engineering Failure Analysis
·
148
Vibration signal analysis for gear fault diagnosis with various crack progression scenarios
2013
·
Omar D. Mohammed
, Matti Rantatalo
, et al.
·
Mechanical Systems and Signal Processing
·
145
Milling machine spindle analysis using FEM and non-contact spindle excitation and response measurement
2006
·
Matti Rantatalo
, Jan-Olov Aidanpää
, et al.
·
International Journal of Machine Tools and Manufacture
·
131
Dynamic response and time-frequency analysis for gear tooth crack detection
2015
·
Omar D. Mohammed
, Matti Rantatalo
·
Mechanical Systems and Signal Processing
·
123
Bayesian hierarchical model-based prognostics for lithium-ion batteries
2017
·
Madhav Mishra
, Jesper Martinsson
, et al.
·
Reliability Engineering & System Safety
·
82
An Investigation of Railway Fastener Detection Using Image Processing and Augmented Deep Learning
2021
·
Praneeth Chandran
, Johnny Asber
, et al.
·
Sustainability
·
58
PDF
Measurements of friction coefficients between rails lubricated with a friction modifier and the wheels of an IORE locomotive during real working conditions
2014
·
Jan Lundberg
, Matti Rantatalo
, et al.
·
Wear
·
58
PDF
Optimisation of maintenance track possession time: A tamping case study
2013
·
Stephen M Famurewa
, Tao Xin
, et al.
·
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
·
55
A study of railway wheel profile parameters used as indicators of an increased risk of wheel defects
2014
·
Matthias Asplund
, Mikael Palo
, et al.
·
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
·
51
Particle filter-based prognostic approach for railway track geometry
2017
·
Madhav Mishra
, Johan Odelius
, et al.
·
Mechanical Systems and Signal Processing
·
47
Train-based differential eddy current sensor system for rail fastener detection
2019
·
Praneeth Chandran
, Matti Rantatalo
, et al.
·
Measurement Science and Technology
·
37
PDF
Laser vibrometry measurements of an optically smooth rotating spindle
2006
·
Kourosh Tatar
, Matti Rantatalo
, et al.
·
Mechanical Systems and Signal Processing
·
35
Supervised Machine Learning Approach for Detecting Missing Clamps in Rail Fastening System from Differential Eddy Current Measurements
2021
·
Praneeth Chandran
, Florian Thierry
, et al.
·
Applied Sciences
·
34
PDF
Maintenance analysis for continuous improvement of railway infrastructure performance
2014
·
Stephen M. Famurewa
, Matthias Asplund
, et al.
·
Structure and Infrastructure Engineering
·
27
Unsupervised Machine Learning for Missing Clamp Detection from an In-Service Train Using Differential Eddy Current Sensor
2022
·
Praneeth Chandran
, Florian Thiery
, et al.
·
Sustainability
·
22
PDF
Laser doppler vibrometry measurements of a rotating milling machine spindle
2004
·
Matti Rantatalo
, Kourosh Tatar
, et al.
·
21
Measurement of vertical geometry variations in railway turnouts exposed to different operating conditions
2014
·
Jens Jönsson
, Iman Arasteh Khouy
, et al.
·
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
·
20
Reliability and measurement accuracy of a condition monitoring system in an extreme climate: A case study of automatic laser scanning of wheel profiles
2014
·
Matthias Asplund
, Per Gustafsson
, et al.
·
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
·
19
A new test track for automotive squeak and rattle (S&R) detection
2014
·
Roger Johnsson
, Johan Odelius
, et al.
·
Applied Acoustics
·
19
Squat Detection of Railway Switches and Crossings Using Wavelets and Isolation Forest
2022
·
Yang Zuo
, Florian Thiery
, et al.
·
Sensors
·
18
PDF
Condition monitoring and e-maintenance solution of railway wheels
2014
·
Matthias Asplund
, Stephen Famurewa
, et al.
·
Journal of Quality in Maintenance Engineering
·
17
Gear tooth crack detection using dynamic response analysis
2013
·
O D Mohammed
, M Rantatalo
·
Insight - Non-Destructive Testing and Condition Monitoring
·
13
A sophisticated platform for characterization, monitoring and control of machining
2006
·
Peter Norman
, Mikael Bäckström
, et al.
·
Measurement Science and Technology
·
13
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Works count:
98
Citation count:
1,677
H-index:
19
I10-index:
30
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