| 1. |
- Xu, Cheng, et al.
(författare)
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Scalable Validation of Industrial Equipment using a Functional DSMS
- 2017
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Ingår i: Journal of Intelligent Information Systems. - : Springer. - 0925-9902 .- 1573-7675. ; 48:3, s. 553-577
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Tidskriftsartikel (refereegranskat)abstract
- A stream validation system called SVALI is developed in order to continuouslyvalidate data streams from industrial equipment. The functional data model of SVALI allows the user to dene meta-data and queries about the equipment in terms of types and functions. The two system functions model-andvalidate and learn-and-validate provide such validation functionality. The experiments show that parallel stream processing enables SVALI to scale very well with respect to response time and system throughput. The paper is based on a real world application for wheel loader slippage detection at Volvo Construction Equipment.
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| 2. |
- Lagrosen, Yvonne. 1966-, et al.
(författare)
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Quality management and health : a double connection
- 2007
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Ingår i: International Journal of Quality & Reliability Management. - : Emerald Group Publishing Limited. - 0265-671X .- 1758-6682. ; 24:1, s. 49-61
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Tidskriftsartikel (refereegranskat)abstract
- The purpose of this paper is to examine and discuss the effects of quality management in the health care sector and the general effects of quality management on the health of the employees. Methodology/approach The empirical basis consists of three case studies in one industrial manufacturing company and two hospitals. The empirical data have been gathered with both qualitative and quantitative methods. Findings: The twofold value of quality management, of preventing disease by supporting more rewarding working conditions as well as improving the treatment of disease by increasing the effectiveness of health care organisations it indicated. Leadership commitment was found to be the most crucial common prerequisite for successful quality management implementation and for creating a healthy work environment. In addition, continuous improvements and participation of everybody were found to have importance for well functioning quality management as well as for health. Research limitations/implications: The paper provides additional understanding of the influence of quality management on health and a model is presented. A limitation is that the factors studied are fairly broad and for further research it will be useful to go deeper into the mechanics of them. Practical implications: The three factors leadership commitment, participation of everybody and continuous improvements have been shown to be vital contributors for health and managers should make every effort to implement them. Originality/value: The double effect of quality management on health has not been studied before and knowledge of the factors contributing to it is valuable.
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| 3. |
- Källström, Elisabeth, et al.
(författare)
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On-board Clutch Slippage Detection and Diagnosis in Heavy Duty Machine
- 2018
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Ingår i: International Journal of Prognostics and Health Management. - : PHM Society. - 2153-2648. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- In order to reduce unnecessary stops and expensive downtime originating from clutch failure of construction equipment machines; adequate real time sensor data measured on the machinein combination with feature extraction and classification methods may be utilized.This paper, based on a study at Volvo Construction Equipment,presents a framework with feature extraction methods and an anomaly detection module combined with Case-Based Reasoning (CBR) for on-board clutch slippage detection and diagnosis in a heavy duty equipment. The feature extraction methods used are Moving Average Square Value Filtering (MASVF) and a measure of the fourth order statistical properties of the signals implemented as continuous queries over data streams. The anomaly detection module has two components,the Gaussian Mixture Model (GMM) and the Logistics Regression classifier. CBR is a learning approach that classifies faults by creating a new solution for a new fault case from the solution of the previous fault cases. Through use of a data stream management system and continuous queries (CQs), the anomaly detection module continuously waits for a clutch slippage event detected by the feature extraction methods, the query returns a set of features which activates the anomaly detection module. The first component of the anomaly detection module trains a GMM to extracted features while the second component uses a Logistic Regression classifier for classifying normal and anomalous data. When an anomalyis detected, the Case-Based diagnosis module is activated for fault severity estimation.
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| 4. |
- Bolmsjö, Gunnar, et al.
(författare)
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Safety System for Industrial Robots to Support Collaboration
- 2016
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Ingår i: Advances in Ergonomics of Manufacturing. - Cham : Springer International Publishing. - 9783319416960 - 9783319416977 ; , s. 253-265
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Bokkapitel (refereegranskat)abstract
- The ongoing trend towards manufacturing of customized products generates an increased demand on highly efficient work methods to manage product variants through flexible automation. Adopting robots for automation is not always feasible in low batch production. However, the combination of humans together with robots performing tasks in collaboration provides a complementary mix of skill and creativity of humans, and precision and strength of robots which support flexible production in small series down to one-off production. Through this, collaboration can be used with implications on reconfiguration and production. In this paper, the focus and study is on designing safety for efficient collaboration operator—robot in selected work task scenarios. The recently published ISO/TS 15066:2016 describing collaboration between operator and robot is in this context an important document for development and implementation of robotic systems designed for collaboration between operator and robot.
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| 5. |
- Källström, Elisabeth, et al.
(författare)
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Vibration-based Condition Monitoring of Heavy Duty Machine Driveline Parts : Torque Converter, Gearbox, Axles and Bearings
- 2019
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Ingår i: International Journal of Prognostics and Health Management. - : PHM Society. - 2153-2648. ; 10
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Tidskriftsartikel (refereegranskat)abstract
- As more features are added to the heavy duty construction equipment, its complexity increases and early fault detection of certain components becomes more challenging due to too many fault codes generated when a failure occurs. Hence, the need to complement the present onboard diagnostic methods with more sophisticated diagnostic methods for adequate condition monitoring of the heavy duty construction equipment in order to improve uptime. Major components of the driveline (such as the gearbox, torque converter, bearings and axles) are such components. Failure of these major components of the driveline may results in the machine standing still until a repair is scheduled. In this paper, vibration based condition monitoring methods are presented with the purpose to provide a diagnostic framework possible to implement onboard for monitoring of critical driveline parts in order to reduce service cost and improve uptime. For the development of this diagnostic framework, sensor data from the gearbox, torque converter, bearings and axles are considered. Further, the feature extraction of the data collected has been carried out using adequate signal processing methods, which includes, Adaptive Line Enhancer, Order Power Spectrum respectively. In addition, Bayesian learning was utilized for adaptively learning of the extracted features for deviation detection. Bayesian learning is a powerful prediction method as it combines the prior information with knowlegde measured to make update. The results indicate that the vibration properties of the gearbox, torque converter, bearings and axle are relevant for early fault detection of the driveline. Furthermore, vibration provide information about the internal features of these components for detecting deviations from normal behavior.In this way, the developed methods may be implemented onboard for the continuous monitoring of these critical driveline parts of the heavy duty construction equipment so that if their health starts to degrade a service and/or repair may be scheduled well in advance of a potential failure and in that way the downtime of a machine may be reduced and costly replacements and repairs avoided.
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| 6. |
- Bergström, Per, et al.
(författare)
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Dual-wavelength digital holography : single-shot shape evaluation using speckle displacements and regularization
- 2014
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Ingår i: Applied Optics. - : Optical Society of America. - 1559-128X .- 2155-3165 .- 0003-6935 .- 1539-4522. ; 53:1, s. 123-131
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Tidskriftsartikel (refereegranskat)abstract
- This paper discusses the possibility of evaluating the shape of a free-form object in comparison with its shape prescribed by a CAD model. Measurements are made based on a single-shot recording using dual-wavelength holography with a synthetic wavelength of 1.4 mm. Each hologram is numerically propagated to different focus planes and correlated. The result is a vector field of speckle displacements that is linearly dependent on the local distance between the measured surface and the focus plane. From these speckle displacements, a gradient field of the measured surface is extracted through a proportional relationship. The gradient field obtained from the measurement is then aligned to the shape of the CAD model using the iterative closest point (ICP) algorithm and regularization. Deviations between the measured shape and the CAD model are found from the phase difference field, giving a high precision shape evaluation. The phase differences and the CAD model are also used to find a representation of the measured shape. The standard deviation of the measured shape relative the CAD model varies between 7 and 19 μm, depending on the slope.
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| 7. |
- Chronéer, Diana, et al.
(författare)
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Systems Thinking Benefits in Supply Change Management : An illustration of the viable systems model in a supply chain
- 2009
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Ingår i: International Journal of Intelligent Systems Technologies and Applications. - : Inderscience Publishers. - 1740-8865 .- 1740-8873. ; 6:3/4, s. 227-248
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Tidskriftsartikel (refereegranskat)abstract
- Existing product development models are solely an organisational matter. They do not take into consideration the whole Supply chain (SC) and its different actors. In this article, we investigate how Supply Chain Management and Viable System Model (VSM) can support and create an effective use of information in product development and hence identify critical linkages in the SC. The aim is to introduce VSM as a framework that enables an analysis of companies’ SCs and visualise vital inter-organisational relationships that should be integrated in product development.
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| 8. |
- Källström, Elisabeth, et al.
(författare)
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Identification of vibration properties of heavy duty machine driveline parts as a base for adequate condition monitoring: Axle
- 2016
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Ingår i: ICSV 2016 - 23rd International Congress on Sound and Vibration. - : INT INST ACOUSTICS & VIBRATION. - 9789609922623
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Konferensbidrag (refereegranskat)abstract
- With increasing complexities in the heavy duty construction equipment, early fault detection of certain components in the machine becomes more and more challenging due to too many fault code generated when a failure occurs. The axle is one of such component. The axle transfers driving torque from the transmission to the wheels and axle failure may result in costly downtime of construction equipment. To reduce service cost and to improve uptime, adequate condition monitoring based on sensor data from the axle is considered. Vibration is measured on the axle. Analysis of the data has been carried out using adequate signal processing methods. The results indicate that the vibration properties of the axle are relevant for early fault detection of the axle. In this way; the health of the axle may be continuously monitored on-board using the vibration information and if the axle health starts to degrade a service and/or repair may be scheduled well in advance of a potential axle failure and in that way the downtime of a machine may be reduced.
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| 9. |
- Källström, Elisabeth, et al.
(författare)
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Identification of vibration properties of heavy duty machine driveline parts as a base for adequate condition monitoring: Torque converter
- 2016
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Ingår i: ICSV 2016 - 23rd International Congress on Sound and Vibration. - : INT INST ACOUSTICS & VIBRATION. - 9789609922623
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Konferensbidrag (refereegranskat)abstract
- Improving uptime is paramount in the heavy duty construction equipment business. Failure ofcritical components in the heavy duty machine may lead to unnecessary stops and expensive downtime. The torque converter, a complex omponent of the driveline, transmits and multiplies torque from the engine to the gearbox, and its failure may not only lead to the machine standing still but may also lead to damage of other parts of the automatic transmission. For adequate condition monitoring of the torque converter, different sensor data are measured on a construction equipment machine during controlled driving sessions. Vibration has been measured on the torque converter. An initial investigation of the vibration measured on the torque converter has been carried out to identify its vibration properties in order to enable its health monitoring to prevent failure. Initial signal analysis of the data have been carried out using Order Power Spectrum and Order Modulation Spectrum methods. The results indicate that the torque converter vibration properties contain information relevant for early fault detection.
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| 10. |
- Kans, Mirka, 1971, et al.
(författare)
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Service-based business models in the Swedish railway industry
- 2021
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Ingår i: Journal of Quality in Maintenance Engineering. - : Emerald Group Publishing Limited. - 1355-2511 .- 1758-7832. ; 29:5, s. 68-87
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: The purpose is to describe new business opportunities within the Swedish railway industry and to support the development of business models that corresponds with the needs and requirements of Industry 4.0, here denoted as Service Management 4.0. Design/methodology/approach: The study is an in-depth and descriptive case study of the Swedish railway system with specific focus on a railway vehicle maintainer. Public reports, statistics, internal documents, interviews and dialogues forms the basis for the empirical findings. Findings: The article describes the complex business environment of the deregulated Swedish railway industry. Main findings are in the form of identified business opportunities and new business model propositions for one of the key actors, a vehicle maintainer. Originality/value: The article provides valuable understanding of business strategy development within complex business environments and how maintenance related business models could be developed for reaching Service Management 4.0.
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