ArticleSensors (Basel, Switzerland)2019
An Industrial Digitalization Platform for Condition Monitoring and Predictive Maintenance of Pumping Equipment.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 55 citations in OpenAlex.
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- Trend Prediction and Operation Alarm Model Based on PCA-Based MTL and AM for the Operating Parameters of a Water Pumping Station.Sensors (Basel, Switzerland) · 2024Article
- Innovative Integrated Solution for Monitoring and Protection of Power Supply System from Railway Infrastructure.Sensors (Basel, Switzerland) · 2021Article
- TIP4.0: Industrial Internet of Things Platform for Predictive Maintenance.Sensors (Basel, Switzerland) · 2021Article
- Intelligent Online Monitoring of Rolling Bearing: Diagnosis and Prognosis.Entropy (Basel, Switzerland) · 2021Article
- Intelligent Tensioning Method for Prestressed Cables Based on Digital Twins and Artificial Intelligence.Sensors (Basel, Switzerland) · 2020Article
- Reflections and Methodological Proposals to Treat the Concept of "Information Precision" in Smart Agriculture Practices.Sensors (Basel, Switzerland) · 2020Article
- Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management.Sensors (Basel, Switzerland) · 2020Article
- Towards Digital Twin Implementation for Assessing Production Line Performance and Balancing.Sensors (Basel, Switzerland) · 2019Article
- The Advent of the Internet of Things in Airfield Lightning Systems: Paving the Way from a Legacy Environment to an Open World.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
This paper is concerned with the implementation and field-testing of an edge device for real-time condition monitoring and fault detection for large-scale rotating equipment in the UK water industry. The edge device implements a local digital twin, processing information from low-cost transducers mounted on the equipment in real-time. Condition monitoring is achieved with sliding-mode observers employed as soft sensors to estimate critical internal pump parameters to help detect equipment weasr before damage occurs. The paper describes the implementation of the edge system on a prototype microcontroller-based embedded platform, which supports the Modbus protocol; IP/GSM communication gateways provide remote connectivity to the network core, allowing further detailed analytics for predictive maintenance to take place. The paper first describes validation testing of the edge device using Hardware-In-The-Loop techniques, followed by trials on large-scale pumping equipment in the field. The paper concludes that the proposed system potentially delivers a flexible and low-cost industrial digitalization platform for condition monitoring and predictive maintenance applications in the water industry.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.