robotswana energy storage fusion machine quality assurance
A machine vision approach with temporal fusion strategy for concrete vibration quality …
Pioneered the application of temporal fusion strategy in vibration quality assessment. Experimental results demonstrate a 2.06% increase in accuracy with the new method, reaching up to 98.24%. Confirmed that image patching of concrete surfaces does not diminish image recognition performance.
On the application of in-situ monitoring systems and machine learning algorithms for developing quality assurance …
Quality assurance (QA) could be one solution to achieve high-quality AM products. The first step in moving toward QA is enhancing the knowledge of the process. As a result, in-situ sensors are installed to collect valuable datasets during the process, such as light intensity signals, melt pool images, acoustic signals, etc.
Solid gravity energy storage: A review
Abstract. Large-scale energy storage technology is crucial to maintaining a high-proportion renewable energy power system stability and addressing the energy crisis and environmental problems. Solid gravity energy storage technology (SGES) is a promising mechanical energy storage technology suitable for large-scale applications.
Energy Machines | News
Energy Machines'' integrated system at Kv Sändaren 1 in Malmö has been in operation for over four years. Having lowered their yearly energy consumption from 81 kWh/m² to 19 kWh/m², we are pleased to report a sustained 76.5% decrease in the building''s need for purchased energy. Read more.
DATA FUSION FOR QUALITY ASSURANCE OF FIBRE …
This is shown in Fig. 1. Glass fibre reinforced plastics (GFFP) can save up to 70% in weight compared to steel components. With unidirectional carbon fibre materials (CFRP) even up to 75% are possible. However, the costs must be considered. The material and production costs are up to 8 times higher than for steel.
Heterogeneous sensing and scientific machine learning for quality assurance in laser powder bed fusion …
Journal Pre-proof Heterogeneous Sensing and Scientific Machine Learning for Quality Assurance in Laser Powder Bed Fusion – A Single-track Study Aniruddha Gaikwad, Brian Giera, Gabriel M. Guss, Jean-Baptiste Forien, Manyalibo J. Matthews, Prahalada Rao PII
AAPM task group 224: Comprehensive proton therapy machine quality assurance …
Purpose: Task Group (TG) 224 was established by the American Association of Physicists in Medi-cine''s Science Council under the Radiation Therapy Committee and Work Group on Particle Beams. The group was charged with developing comprehensive quality assurance (QA) guidelines and rec-ommendations for the three commonly employed proton therapy ...
Quality Assurance for Flexible Stack Assembly of Lithium‐Ion Cells
In this article, a quality assurance concept for an innovative machine concept for flexible stacking of LIB is derived comprising data analysis from hardware sensors, simulations in a digital twin of the machine, statistical process control, and checks on
Heterogeneous sensing and scientific machine learning for quality assurance in laser powder bed fusion …
Semantic Scholar extracted view of "Heterogeneous sensing and scientific machine learning for quality assurance in laser powder bed fusion – A single-track study" by A. Gaikwad et al. DOI: 10.1016/j.addma.2020.101659 Corpus ID: 225128584 Heterogeneous ...
A Decision-Making Framework for the Implementation of Remanufacturing in Rechargeable Energy Storage …
This paper aims to develop a decision-making framework for the rechargeable energy storage system, which is a key energy system currently utilised in Electric Vehicles (EVs) and Hybrid Electric Vehicles (EVs) with a focus on the key stakeholders and their
Quality assurance in metal powder bed fusion via deep-learning-based image classification …
Quality assurance Selective laser melting Artificial intelligence Citation Kunkel, M.H., Gebhardt, A., Mpofu, K. and Kallweit, S. (2020), "Quality assurance in metal powder bed fusion via deep-learning-based image classification", Rapid Prototyping Journal, Vol. 26
Multi-sensor fusion and machine learning-driven sequence-to …
Previous work has shown that the machining power demanded can also be modeled in terms of material removal: (4) P m = MRR PP ⋅ S FC PP, TC + ε t, TC, MP where MRR is the material removal rate (mm 3 /min) as a function of process parameters (PP), S FC is the specific cutting force (N/mm 2) as a function of PP and tool condition (TC), and …
Entropy | Free Full-Text | Gearbox Failure Diagnosis Using a Multisensor Data-Fusion Machine-Learning-Based Approach …
Failure detection and diagnosis are of crucial importance for the reliable and safe operation of industrial equipment and systems, while gearbox failures are one of the main factors leading to long-term downtime. Condition-based maintenance addresses this issue using several expert systems for early failure diagnosis to avoid unplanned …
Machine learning for automated quality assurance in radiotherapy…
Developing automated methods to identify task-driven quality assurance (QA) procedures is key toward increasing safety, efficacy, and efficiency. We investigate the use of machine learning (ML) methods for possible visualization, automation, and targeting of QA, and assess its performance using multi-institutional data.
Benefits of IBM Storage Fusion
Benefits offered by IBM Storage Fusion. Modernize AI workloads. Supports GPU accelerated applications with NVIDIA A100 GPU nodes and integrates IBM Cloud Paks to infuse AI. For more details about the supported versions of IBM Cloud Paks and prerequisites, see IBM Cloud Paks support for IBM Storage Fusion. Organize and …
Heterogeneous Sensing and Scientific Machine Learning for Quality Assurance in Laser Powder Bed Fusion …
We extract physically intuitive low-level features representative of the meltpool dynamics from these sensing modalities and explore how these vary with the linear energy density. We find our Sequential Decision Analysis Neural Network (SeDANN) model – a scientific machine learning model that incorporates physical process insights – outperforms other …
Technology Roadmap
About this report. One of the key goals of this new roadmap is to understand and communicate the value of energy storage to energy system stakeholders. Energy storage technologies are valuable components in most energy systems and could be an important tool in achieving a low-carbon future. These technologies allow for the decoupling of …
ISO
A quality assurance system underscores an organization''s credibility, while also improving work processes and efficiency. ISO is a driving force behind QA practices and mapping the processes used to implement QA. QA is often associated with the ISO 9000 family of standards. Many companies use ISO 9001 to ensure that their quality assurance ...
A review of energy storage types, applications and recent …
Most energy storage technologies are considered, including electrochemical and battery energy storage, thermal energy storage, thermochemical energy storage, flywheel energy storage, compressed air energy storage, pumped energy storage, magnetic energy storage, chemical and hydrogen energy storage. …
Global news, analysis and opinion on energy storage innovation and technologies
A double-header of Netherlands news, with SemperPower and Corre Energy planning a 640MWh BESS at the latter''s compressed air energy storage (CAES) site and Powerfield commissioning the country''s largest co-located project.
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