Peter O’Donovan
YOU?
Author Swipe
View article: Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing
Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing Open
Integrated, real-time and open approaches relating to the development of industrial analytics capabilities are needed to support smart manufacturing. However, adopting industrial analytics can be challenging due to its multidisciplinary an…
View article: IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities
IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities Open
Industrial big data analytics is an emerging multidisciplinary field, which incorporates aspects of engineering, statistics and computing, to produce data-driven insights that can enhance operational efficiencies, and produce knowledgebase…
View article: Predicting Visual Importance Across Graphic Design Types
Predicting Visual Importance Across Graphic Design Types Open
This paper introduces a Unified Model of Saliency and Importance (UMSI), which learns to predict visual importance in input graphic designs, and saliency in natural images, along with a new dataset and applications. Previous methods for pr…
View article: A Systematic Analysis of Real-World Energy Blockchain Initiatives
A Systematic Analysis of Real-World Energy Blockchain Initiatives Open
The application of blockchain technology to the energy sector promises to derive new operating models focused on local generation and sustainable practices, which are driven by peer-to-peer collaboration and community engagement. However, …
View article: Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses
Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses Open
In order to remain competitive, wind turbines must be reliable machines with efficient and effective maintenance strategies. However, thus far, wind turbine reliability information has been closely guarded by the original equipment manufac…
View article: Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility
Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility Open
Wind turbines generate a wealth of data which can be effectively used to improve maintenance strategies and drive down operations and maintenance ( O & M ) costs, which account for 20-25 % of the cost of generation of wind energy. Data-dri…
View article: A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study
A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study Open
Using 10-minute wind turbine supervisory control and data acquisition (SCADA) system data to predict faults can be an attractive way of working toward a predictive maintenance strategy without needing to invest in extra hardware. Classific…
View article: Cluster analysis of wind turbine alarms for characterising and classifying stoppages
Cluster analysis of wind turbine alarms for characterising and classifying stoppages Open
Turbine alarm systems can give useful information to remote technicians on the cause of a fault or stoppage. However, alarms are generally generated at much too high a rate to gain meaningful insight from on their own, so generally require…
View article: Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0
Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0 Open
The foundations of all methodologies for the measurement and verification (M&V) of energy savings are based on the same five key principles: accuracy, completeness, conservatism, consistency and transparency. The most widely accepted metho…
View article: Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0
Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0 Open
The foundations of all methodologies for the measurement and verification (M&V) of energy savings are based on the same five key principles: accuracy, completeness, conservatism, consistency and transparency. The most widely accepted metho…
View article: An industrial analytics methodology and fog computing cyber-physical system for Industry 4.0 embedded machine learning applications
An industrial analytics methodology and fog computing cyber-physical system for Industry 4.0 embedded machine learning applications Open
Industrial cyber-physical systems are the primary enabling technology for Industry 4.0, which combine legacy industrial and control engineering, with emerging technology paradigms (e.g. big data, internet-of-things, artificial intelligence…
View article: Survey among ESGE members on leiomyosarcoma morcellation incidence
Survey among ESGE members on leiomyosarcoma morcellation incidence Open
Background Increased awareness of leiomyosarcoma (LMS) risk during myomectomy or hysterectomy is essential. Objective and correct reasoning should prevail on any decision regarding the extent and type of surgery to employ. The anticipated …
View article: Automatically Identifying and Predicting Unplanned Wind Turbine Stoppages Using SCADA and Alarms System Data: Case Study and Results
Automatically Identifying and Predicting Unplanned Wind Turbine Stoppages Using SCADA and Alarms System Data: Case Study and Results Open
Using 10-minute wind turbine SCADA data for fault prediction offers an attractive way of gaining additional prognostic capabilities without needing to invest in extra hardware. To use these data-driven methods effectively, the historical S…
View article: Learning Visual Importance for Graphic Designs and Data Visualizations
Learning Visual Importance for Graphic Designs and Data Visualizations Open
Knowing where people look and click on visual designs can provide clues about\nhow the designs are perceived, and where the most important or relevant content\nlies. The most important content of a visual design can be used for effective\n…
View article: Enabling Effective Operational Decision Making on a Combined Heat and Power System Using the 5C Architecture
Enabling Effective Operational Decision Making on a Combined Heat and Power System Using the 5C Architecture Open
The use of Cyber Physical Systems (CPS) to optimise industrial energy systems is an approach which has the potential to positively impact on manufacturing sector energy efficiency. The need to obtain data to facilitate the implementation o…
View article: An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities
An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities Open
The term smart manufacturing refers to a future-state of manufacturing, where the real-time transmission and analysis of data from across the factory creates manufacturing intelligence, which can be used to have a positive impact across al…
View article: A data pipeline for PHM data-driven analytics in large-scale smart manufacturing facilities
A data pipeline for PHM data-driven analytics in large-scale smart manufacturing facilities Open
The term smart manufacturing refers to a future-state of manufacturing, where the real-time transmission and processing of information across the factory will be used to produce advanced manufacturing intelligence that can optimize e…
View article: Big data in manufacturing: a systematic mapping study
Big data in manufacturing: a systematic mapping study Open
The manufacturing industry is currently in the midst of a data-driven revolution, which promises to transform traditional manufacturing facilities in to highly optimised smart manufacturing facilities. These smart facilities are focused on…
View article: Options on fibroid morcellation: a literature review
Options on fibroid morcellation: a literature review Open
In laparoscopy, specimens have to be removed from the abdominal cavity. If the trocar opening or the vaginal outlet is insufficient to pass the specimen, the specimen needs to be reduced. The power morcellator is an instrument with a fast …
View article: A Cloud-based Distributed Data Collection System for Decentralised Wastewater Treatment Plants
A Cloud-based Distributed Data Collection System for Decentralised Wastewater Treatment Plants Open
Compliance with increasingly stringent legislation is one of the key challenges in the wastewater technology sector in the European Union (EU). Many EU countries have chosen to use decentralised wastewater treatment plants (WWTPs) because …
View article: Waternomics: A Cross-site Data Collection to Support the Development of a Water Information Platform
Waternomics: A Cross-site Data Collection to Support the Development of a Water Information Platform Open
In Europe, 20 to 40% of water is being wasted due to poor infrastructure, consumer negligence and lack of proper resource management. Effective and efficient management of water resources requires a holistic approach considering all the st…