Buchegger Thomas

Buchegger Thomas
Linz Center of Mechatronics GmbH · Sensors and Communications

DI Dr. MSc MBA

About

37
Publications
4,924
Reads
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678
Citations
Citations since 2016
4 Research Items
408 Citations
20162017201820192020202120220204060
20162017201820192020202120220204060
20162017201820192020202120220204060
20162017201820192020202120220204060
Additional affiliations
March 2002 - October 2014
Austrian Center of Competence in Mechatronics
Austrian Center of Competence in Mechatronics
Position
  • Vice Area Coordinator
March 2002 - present
Linz Center of Mechatronics GmbH
Position
  • Business Area Manger

Publications

Publications (37)
Conference Paper
Full-text available
Today’s products increasingly are embedded into complex, perpetually changing socio-technical environments with various interactions inside the product (system) as well as to its physical or cyber-physical embedding. As a consequence, products themselves are evolving to socio-bio-technical (eco-)systems with increasing adaptability and versatility....
Preprint
Full-text available
Knowledge and information are becoming the primary resources of the emerging information society. To exploit the potential of available expert knowledge, comprehension and application skills (i.e. expert competences) are necessary. The ability to acquire these skills is limited for any individual human. Consequently, the capacities to solve problem...
Article
We propose an improved fault detection (FD) scheme based on residual signals extracted on-line from system models identified from high-dimensional measurement data recorded in multi-sensor networks. The system models are designed for an all-coverage approach and comprise linear and non-linear approximation functions representing the interrelations...
Article
In this paper, we propose a new approach to Fault Isolation (FI) based on isolation indicators extracted from multi-dimensional system identification models. Given a set of models pointing to a fault (called violated models), the indicators comprise the following information: (1) the degree of violation of the actual samples in all violated models,...
Article
This paper presents a novel approach for detecting cracked or broken reciprocating compressor valves under varying load conditions. The main idea is that the time frequency representation of vibration measurement data will show typical patterns depending on the fault state. The problem is to detect these patterns reliably. For the detection task, w...
Article
We present a novel approach to detecting leaking reciprocating compressor valves based on the idea that a leaking valve affects the shape of the pressure-volume diagram (pV diagram). This effect can be observed when the valves are closed. To avoid disturbances due to the load control, we concentrate on the expansion phase, and linearize it using th...
Article
We introduce the usage of multivariate orthogonal space transformations and vectorized time-series models in combination with data-driven system identification models to achieve an enhanced performance of residual-based fault detection in condition monitoring systems equipped with multi-sensor networks. Neither time-consuming annotated samples nor...
Conference Paper
This paper examines robustness issues of fault detection methods for reciprocating compressor valves. The authors have previously proposed two independent fault detection approaches for reciprocating compressor valves. One method is based on vibration analysis of accelerometer data, the other one on analyzing pV diagrams. Based on real world data,...
Conference Paper
Departing from a previously demonstrated Residual-Based Fault-Detection system, where the residual signals are statistically tracked by means of tolerance bands, we introduce the use of filters as an intermediate step in the online operation of the system. This step will provide smoother residual signals where the underlying trend of the signal is...
Conference Paper
Full-text available
We demonstrate how Residual-Based Fault Detection can be improved by means of Genetic-Fuzzy Systems (GFSs). Thus, the performance of a pure Data-Driven Fault Detection System, which relies on system identification models, is improved using models created by Genetic-Fuzzy Systems. The evolutionary approach is used in the cases where a deterministic...
Conference Paper
We introduce a fault isolation technique based on the analysis of the deformation of data-driven models produced by an incoming fault. Combining the gradients within a model, with the confidence of the model in terms of its quality influenced by the degree of violation of the uncertainty measure used in the fault detection phase allows us to succes...
Conference Paper
Wireless sensor networks (WSNs) are typically used as interface between the real and digital world. Autonomous sensor nodes of WSNs are placed directly on location to measure physical quantities. Such locations are often characterized by a poor accessibility and no wired infrastructure. These facts cause the need of a dedicated energy supply and so...
Article
We propose a residual-based approach for fault detection at rolling mills based on data-driven soft computing techniques. It transforms the original measurement signals into a model space by identifying the multi-dimensional relationships contained in the system. Residuals, calculated as deviations from the identified relations and normalized with...
Conference Paper
We propose the use of multivariate orthogonal space transformations and Vector Autoregressive Moving-Average VARMA) models in combination with data-driven system identification models to improve residual-based approaches to fault detection in rolling mills. Introducing VARMA models allows us to build k-step ahead multi-dimensional prediction models...
Conference Paper
This paper presents a novel data-driven approach for detecting broken reciprocating compressor valves that is based on the idea that a broken valve will affect the shape of the pressurevolume (pV) diagram. This effect can be observed when the valves are closed. To avoid disturbances due to the load control we concentrate on the expansion phase line...
Conference Paper
This paper presents a novel data-driven approach to detecting broken reciprocating compressor valves that is based on the idea that a broken valve will affect the shape of the pressure-volume (pV) diagram. This effect can be observed when the valves are closed. To avoid disturbances due to the load control, we concentrate on the expansion phase, li...
Conference Paper
We propose a residual-based approach for fault detection in rolling mills which is based on data-driven soft computing techniques. The basic idea is to transform original measurement signals into a feature space by (i) identifying multi-dimensional relationships in the system, (ii) representing the nominal fault-free case, and (iii) analyzing resid...
Conference Paper
This paper presents a novel data-driven approach for detecting cracks in reciprocating compressor valves by analyzing vibration data. The main idea is that the timefrequency representation will show typical patterns, depending on the fault state and other variables. The problem of detecting these patterns reliably is solved by taking a detour via t...
Conference Paper
This paper presents a visual approach for detecting cracked or broken reciprocating compressor valves. The main idea is that the time frequency representation of vibration measurement data shows typical patterns depending on the fault state. As the patterns differ from those induced by changing load levels, the method is independent of the load lev...
Conference Paper
This paper presents a novel data-driven approach to diagnosing faults in reciprocating compressor valves. Based on easily available vibration data, a transformation to a high-dimensional vector space is performed. By defining a metric in this vector space, the distance between the actual compressor state and a reference compressor state is calculat...
Conference Paper
This paper presents a novel approach to diagnosing faults in reciprocating compressor valves. Based on easily available vibration data, a transformation to a high-dimensional vector space is performed. By defining a metric in this vector space, the distance between the actual compressor state and a reference compressor state is calculated. Excessiv...
Article
Full-text available
Farming machinery incidents frequently cause the injury and death of children on farms worldwide. The two main causes of this problem are the driver's view being restricted by construction and/or environmental factors and insufficient risk awareness by children and parents. It is difficult to separate working and living areas on family farms, and t...
Article
Ultra-wideband (UWB) pulse radar can provide high target resolution by using very short pulse durations. In the presence of heavy noise and interference of several pulses, the pulse-detection capability will degrade. Due to the transient behavior of UWB pulses, joint time-frequency algorithms can be used to achieve satisfying target resolutions. In...
Conference Paper
Full-text available
A new low-cost pulse based ultra-wideband radar system working up to 6.4 GHz has been developed. The main focus was on the use of cheap off the shelf components. Pulse generation in the transmitter was solved with a simple transistor circuitry. The down conversion in the receiver is realized with a sampling phase detector combined with a direct dig...
Conference Paper
A new low-cost pulse based ultra-wideband radar system working up to 6.4 GHz has been developed. The main focus was on the use of cheap off the shelf components. Pulse generation in the transmitter was solved with a simple transistor circuitry. In the receiver the down conversion is realized with a sampling phase detector combined with a direct dig...
Article
In this work we present a novel adaptive ground clutter removal (AGCR) algorithm for ground penetrating radar (GPR) applications. The reduction or even removal of the disturbing ground clutter, which mostly obscures the wanted reflections of buried targets, is very important especially for the detection of shallowly buried anti-personnel mines (APM...
Conference Paper
Ultra-wideband radar is an excellent tool for nondestructive examination of walls and highway structures. Therefore often steep edged narrow pulses with rise-, fall-times in the range of 100 ps are used. For digitizing of the reflected pulses a down conversion has to be accomplished. A new low cost sampling down converter with a sampling phase dete...
Conference Paper
Full-text available
Ultra wideband radio, especially impulse radio demands extremely high accuracy in pulse synchronization. A synchronization algorithm for picosecond pulse positioning is proposed with a complete analog correlation receiver. A transmitter for the two different time and amplitude modulation schemes is presented. Solutions for extending the receiver to...
Conference Paper
Ultra wideband (UWB) radio offers low power consumption, low spectral density, high immunity against interferences and other benefits, but for synchronous transmission of data the transmitter and the receiver clocks have to be synchronized. One possibility to realize this is the use of a broadband mixer which is difficult to fabricate and hence exp...
Article
Full-text available
Ultra-wideband (UWB) radio offers low power consumption, low power spectral density, high immunity against interference, and other benefits, not only for consumer electronics, but also for medical devices. A cochlear implant (CI) is an electronic hearing apparatus, requiring a wireless link through human tissue. In this paper we propose an UWB link...
Conference Paper
The big potential of ultra wideband radio, in particular low power consumption, low power spectral density, high immunity against interference, affords many benefits, not only for consumer electronics, but also for medical devices. A cochlea implant is an electronic hearing apparatus, where a wireless link through human tissue is required. We propo...
Conference Paper
In this paper a novel method for vital parameter detection using an ultra wideband (UWB) pulse radar is presented. By using sub-nanosecond pulses the displacement of a human chest due to respiratory movement can be detected very accurately. Because of the very broadband behavior of the transmit signal the presented system is also capable of penetra...
Conference Paper
A great challenge in impulse radio pulse position modulation (PPM) is a simple time delay control for the modulated pulses. Two transmitter prototypes for UWB pulse generation will be presented. The first is a step recovery diode (SRD) based pulser, where the time position of the pulse is controlled by a variable current source. The second circuit...
Conference Paper
In this paper a novel method for ultra-wideband object characterization using a single A-scan is presented. The impulse response of the arrangement at a single measurement position is called an A-scan. The data of an A-scan is processed with the novel wavelet based pulse reconstruction to determine five parameters of the pulse approximation. The wi...
Conference Paper
In this paper we present a technique for evaluating shape and position of an ultra wideband pulse in noisy data, based on the continuous wavelet transformation. By using a complex extension for both the signal and the mother wavelet, the received impulse can be completely characterized by only four parameters, without the necessity of exact knowled...

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