Mauro Riva

Mauro Riva
Leibniz Universität Hannover · Institute of Mechatronic Systems | Integrated Systems & Machine Learning

Ing.

About

16
Publications
957
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
37
Citations
Citations since 2016
7 Research Items
31 Citations
20162017201820192020202120220246810
20162017201820192020202120220246810
20162017201820192020202120220246810
20162017201820192020202120220246810
Additional affiliations
October 2010 - May 2017
Leibniz Universität Hannover
Position
  • Research Assistant

Publications

Publications (16)
Chapter
In order to meet recent challenges for more efficient and economic industrial manufacturing plants and processes, new and already existing infrastructure undergoes transformations towards so called’ Smart Factories’. In this paper a fully integrated Data Analytics Infrastructure is introduced, which is applicable for different use-cases. The modula...
Conference Paper
State estimators are used to reconstruct current plant states based on information received from plant sensors and the use of a mathematical model. The typically applied Kalman filter derivatives require knowledge about the noise statistics affecting system states and measurements. These are often unknown and inaccurate parameterization may lead to...
Conference Paper
In this paper a comparison of three methods for online parameter estimation is presented. The analyzed algorithms are a well known recursive least squares method (RLS), an Extended Kalman Filter (EKF) in joint state form, and an adaptive Extended Kalman Filter (aEKF). The methods' performances regarding accuracy, respond time and computing time are...
Conference Paper
Two observers for joint parameter and state estimation are presented in this paper. The observers are based on the Extended Kalman Filter (EKF) or the Square Root Cubature Kalman Filter (SRCuKF) and a Recursive Predictive Error (RPE) method for state and parameter estimation, respectively. Sensitivity models are introduced to compute and minimize a...
Conference Paper
In recent years, optical coherence tomography (OCT) has gained increasing attention not only as an imaging device, but also as a navigation system for surgical interventions. This approach demands to register intraoperative OCT to pre-operative computed tomography (CT) data. In this study, we evaluate algorithms for multi-modal image registration o...
Article
The choice of a navigation system highly depends on the medical intervention and its accuracy demands. The most commonly used systems for image guided surgery (IGS) are based on optical and magnetic tracking systems. This paper compares two optical systems in terms of accuracy: state of the art triangulation-based optical tracking (OT) and optical...
Article
An adaptive High-Gain observer (AHG) as well as an Extended (EKF) and Unscented Kalman filter (UKF) are implemented for joint state and parameter estimation of a novel multi-axial electromagnetically actuated punch. These observers are compared in terms of convergence and response time to erroneous parameter and state initialization, as well as par...
Article
Designing a Kalman filter requires knowledge about the stochastic part of the system. Thus, disturbances affecting states and measurements should be known. However, in practical application these disturbances are usually unknown. In this contribution a modification of the autocovariance least-square method is presented. This method converts the mea...
Conference Paper
In this paper a multi-axial electromagnetically actuated punch is presented. This punch can apply forces up to 60 kN and has a maximum stroke of 4 mm. Especially, the punch is qualified for manufacturing micro-components demanding high accuracy and high stroke rates. Due to its multi-axial drive concept, the punch is able to compensate the tilt of...
Article
Full-text available
An der Leibniz Universität Hannover wurden zwei elektromagnetische Stanzautomaten entwickelt. Bei diesen mittels Hochleistungselektro-magneten angetriebenen Pressen lässt sich die Stößelkinematik bis zu einer Hubzahl von 1600 Hub pro Minute frei programmieren. Die neuartige Presse eignet sich vor allem zum Stanzen kleiner Bauteile, da aufgrund der...
Article
At the Leibniz University of Hanover two metal forming machines were developed. These presses are driven by high-performance electro - magnets. Therefore, the kinematics of the ram can be programmed by the operator of the press as the ram is not rigidly connected to an eccentric shaft like at conventional presses. With these presses small component...

Network

Cited By

Projects

Projects (2)
Project
Fault detection, process management & optimization, smart factory, industrie 4.0