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ABSTRACT By being able to calculate a machines remaining lifetime, event-driven maintenance actions can be initiated and scheduled ad-hoc into the existing working plan. Today’s maintenance management systems work mainly based on regular... more
ABSTRACT By being able to calculate a machines remaining lifetime, event-driven maintenance actions can be initiated and scheduled ad-hoc into the existing working plan. Today’s maintenance management systems work mainly based on regular and cyclic services. This paper describes a new methodology to prioritize event-driven maintenance workloads driven by information from condition monitoring systems. It proposes an approach to rebuild an existing working plan automatically exploiting genetic algorithms. Accordingly, the paper gives a valuable insight regarding requirements for the integration of condition monitoring systems into maintenance operation and a possible approach to solve this issue.
Research Interests:
The detection and pose estimation of various shaped objects in real world cluttered application scenarios is a major technical challenge due to noisy sensor data and possible occlusions. Usually, a predefined model database is utilized... more
The detection and pose estimation of various shaped objects in real world cluttered application scenarios is a major technical challenge due to noisy sensor data and possible occlusions. Usually, a predefined model database is utilized for implementing a robust and reliable object detection system. Geometric models based on superquadrics have shown great potential and flexibility for representing a variety of shapes by using only a few parameters. In this paper, we propose a novel method concerning superquadric based Segment-then-fit approach and evaluate it in a logistic application scenario. The method utilizes boundary and region information to recover different types of convex shaped logistic goods in cluttered scenarios for automated handling by means of unorganized point cloud data. We have evaluated our approach using synthetic and multiple real sensor data on several packaging scenarios with various shaped logistic goods.
The availability of low-cost range sensors has led to several innovative implementations and solutions in various application fields like object recognition and localization, scene understanding, human-robot interaction or measurement of... more
The availability of low-cost range sensors has led to several innovative implementations and solutions in various application fields like object recognition and localization, scene understanding, human-robot interaction or measurement of objects. The transfer of the corresponding methods and techniques to logistic processes needs the consideration of specific requirements. A logistic application field that requires robust and reliable 3D vision systems is automated handling of universal logistic goods for (de-)palletizing or unloading of standard containers in the field of sea and air cargo. This paper presents a 3D-computer vision system for recognizing and localizing different shaped logistic goods for automated handling by robotic systems. The objective is to distinguish between different types of goods like boxes, barrels or sacks due to their geometric shape in point cloud data. The system is evaluated with sensor data from a low-cost range sensor and ideal simulated data representing different shaped logistic goods as well.
Verfahren und System zur automatisierten Übergabe von Stückgütern zwischen einem Lager und einem Transportmittel oder zwischen zwei Transportmitteln sowie Stückgut mit einer Identifizierungseinrichtung zur Identifizierung des Stückgutes,... more
Verfahren und System zur automatisierten Übergabe von Stückgütern zwischen einem Lager und einem Transportmittel oder zwischen zwei Transportmitteln sowie Stückgut mit einer Identifizierungseinrichtung zur Identifizierung des Stückgutes, einer Selbstlokalisierungs- und -lagebestimmungseinrichtung zur Bestimmung von Ort und Lage des Stückgutes durch selbiges in einem ersten Koordinatensystem und mindestens einer Datensendeeinrichtung zum Senden von Identifikationsdaten von der Identifizierungseinrichtung und von Orts- und Lagedaten von der Selbstlokalisierungs- und -lagebestimmungseinrichtung. EN Procedure and system for the automated delivery of bulks between a camp and a means of transport or between two means of transport as well as bulk with an identification mechanism for the identification of the bulk, Selbstlokalisierungsund - determining position mechanism for the regulation of place and situation of the bulk by selbiges in first coordinate system and at least one data transm...
The mechanical manufacturing of micro-parts is characterized by short cycle times and high quantities. Besides, low tolerances of only few micrometers require high process accuracies and an extensive quality control and management system.... more
The mechanical manufacturing of micro-parts is characterized by short cycle times and high quantities. Besides, low tolerances of only few micrometers require high process accuracies and an extensive quality control and management system. With focus on quality control, the use of flexible and robust machine vision techniques is necessary because the exact positioning of micro-parts is not always given and has to be virtually compensated. One of the most popular techniques for the off-line surface inspection of micro-parts is the confocale laser scanning microscopy. By obtaining high-resolution optical images with depth selectivity, it allows three-dimensional reconstructions of topologically-complex objects. We outline a machine vision based quality concept for the surface inspection of mirco-parts using these kinds of three dimensional images, called height maps.
Ongoing improvement of logistics and intermodal transport leads to high requirements regarding availability of machine resources like straddle carriers or gantry cranes. Accordingly, efficient maintenance strategies for port equipment... more
Ongoing improvement of logistics and intermodal transport leads to high requirements regarding availability of machine resources like straddle carriers or gantry cranes. Accordingly, efficient maintenance strategies for port equipment have to be established. The change to condition-based maintenance strategies promises to save resources while enhancing availability and reliability. This paper introduces a framework of methods and tools that enable the systematic design of condition-based maintenance systems on the one hand and offers integrated support for operating such systems on the other hand. The findings are evaluated based on a case-study of a German seaport and illustrate the usage of the system based on managing the equipping process of machines with sensors for condition monitoring as well as bringing the system into the operation phase.
In micro manufacturing, a precise adjustment of manufacturing, handling and quality control processes is an essential factor for success. The continuing miniaturization of work pieces and production devices results in ever decreasing... more
In micro manufacturing, a precise adjustment of manufacturing, handling and quality control processes is an essential factor for success. The continuing miniaturization of work pieces and production devices results in ever decreasing tolerances. Thereby, so called size effect render the direct application of knowledge from the area of macro manufacturing impossible. Micro manufacturing process are more unstable and have lower tolerances than the macro ones. In this context, this article describes the application of multivariate Gaussian distributions to predict the stability of processes. During the design of micro manufacturing process chains, a variety of parameters has to be adjusted to each other. Using the Gaussian distributions, designers can predict if a certain combination results in stable processes or if they are likely to be unstable, based on experimental or production data.
In micromanufacturing, a precise adjustment of manufacturing, handling, and quality control processes constitutes an essential factor for success. The continuing miniaturization of workpieces and production devices results in ever... more
In micromanufacturing, a precise adjustment of manufacturing, handling, and quality control processes constitutes an essential factor for success. The continuing miniaturization of workpieces and production devices results in ever decreasing tolerances, whereas machines and processes become increasingly more specialized. Thereby, the so-called size effects render the direct application of knowledge from the area of macromanufacturing impossible. In this context, this paper describes the application of theμ-ProPlAn method for the configuration of an infeed rotary swaging process for microcomponents. At this, the cause-effect relationships between relevant process parameters are analyzed using stochastic regression models, in order to determine cost-efficient process configurations for the manufacturing of bulk and tubular microcomponents.
Throughout the whole lifecycle, maintenance activities generally have to be fulfilled regarding technical systems. In logistics networks the creation of value at the nodes by means of rapid turnover is important, so that the availability... more
Throughout the whole lifecycle, maintenance activities generally have to be fulfilled regarding technical systems. In logistics networks the creation of value at the nodes by means of rapid turnover is important, so that the availability of the production factor “machine” is essential. The increase in efficiency of support processes encompasses among others the maintenance of machines and installations. Within the paper, a procedure model with case study is presented, which illustrates the change-over to a condition-based maintenance strategy in the seaport surrounding.
Radio Frequency Identification (RFID) and other wireless technologies are currently transitioning from proto-type application towards real productive systems. Possible investments into these new technologies must meet economic criteria... more
Radio Frequency Identification (RFID) and other wireless technologies are currently transitioning from proto-type application towards real productive systems. Possible investments into these new technologies must meet economic criteria and generate a certain business value. Anyhow, estimating all cost factors and saving opportun-ities is difficult due to uncertainty in input data. This paper presents a review of current approaches to determine the business value of RFID systems. Moreover, it points out the most important factors that influence the busi-ness value and proposes additional concepts to handle uncertainty in the calculation of the business value of an RFID system.
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The fully automatic handling of objects, like the unloading of goods from containers, their place of deposition and previously unknown size and form represent a technical challenge for logistic processes. The ability of gathering... more
The fully automatic handling of objects, like the unloading of goods from containers, their place of deposition and previously unknown size and form represent a technical challenge for logistic processes. The ability of gathering information regarding the handled objects and their surroundings with the help of appropriate sensors is essential for the correct functioning of such a system. Existing systems with optical sensors already provide impressive results, but there is still room for improvement regarding reliability, dynamic and diversity of their processes. This article proposes a system concept which provides the desired information and resolves the described problems. It works with an RFID-transponder, which is attached to the object, a suitable locating procedure as well as an optical sensor technology and appropriate data analysis. In order to implement this system there is need for further research. It is especially necessary to develop appropriate locating procedures and real time analysis algorithms.
ABSTRACT This chapter presents a machine vision system for detecting surface imperfections on micro parts. It is part of a quality control concept for micro production. Because of increasing product miniaturization, the mechanical... more
ABSTRACT This chapter presents a machine vision system for detecting surface imperfections on micro parts. It is part of a quality control concept for micro production. Because of increasing product miniaturization, the mechanical manufacturing of micro components is becoming more and more important. The combination of high manufacturing rates and low tolerances in manufacturing processes enables the economical production of micro components. Due to the small component sizes and the difficulties associated with the handling process, the manual visual inspection retires as testing procedure. A customized surface inspection technology with an efficient image processing and classification system is needed. The objective of our concept is to identify surface imperfections such as raisings, laps and bulges on micro parts. The implementation of the system is explained by reference to a micro deep-drawn component, which is manufactured within the German Collaborative Research Center (CRC) 747.
Present networks of production and logistics are characterised by increasing dynamical and structural complexity. Along with the nonlinear dynamics of such networks, an efficient planning and control can typically not be guaranteed and... more
Present networks of production and logistics are characterised by increasing dynamical and structural complexity. Along with the nonlinear dynamics of such networks, an efficient planning and control can typically not be guaranteed and economic risks arise. As a strategy to overcome corresponding problems, we propose to apply nonlinear methods for the analysis of models of such networks, which make a holistic understanding of complex dynamic systems possible. The overall intention of our work is the derivation of strategies and methods for the management of complex distributed networks of production and logistics based on the results of these analyses.

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