scholarly journals Analysis of Predictive Maintenance for Tunnel Systems

2021 ◽  
Vol 13 (7) ◽  
pp. 3977
Author(s):  
Tomáš Tichý ◽  
Jiří Brož ◽  
Zuzana Bělinová ◽  
Rastislav Pirník
Keyword(s):  
Data Analysis ◽  
Failure Detection ◽  
Predictive Maintenance ◽  
Predictive Diagnostics ◽  
Smart Control ◽  
Expert Analysis ◽  
System Maintenance ◽  
System Sustainability

Smart and automated maintenance could make the system and its parts more sustainable by extending their lifecycle, failure detection, smart control of the equipment, and precise detection and reaction to unexpected circumstances. This article focuses on the analysis of data, particularly on logs captured in several Czech tunnel systems. The objective of the analysis is to find useful information in the logs for predicting upcoming situations, and furthermore, to check the possibilities of predictive diagnostics and to design the process of predictive maintenance. The main goal of the article is to summarize the possibilities of optimizing system maintenance that are based on data analysis as well as expert analysis based on the experience with the equipment in the tunnel. The results, findings, and conclusions could primarily be used in the tunnels; secondarily, these principles could be applied in telematics and lead to the optimization and improvement of system sustainability.

scholarly journals The Use of Predictive Maintenance in the Production Processes

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Aneta NAPIERAJ
Keyword(s):  
Data Analysis ◽  
Production Process ◽  
Preventive Maintenance ◽  
Cost Reduction ◽  
Predictive Maintenance ◽  
Acceptable Level ◽  
Safety Requirements ◽  
Production Processes ◽  
Machine Reliability ◽  
Level Of Risk

Failures are a problem for every company that causes the plant to stop working and thus incur losses. It is therefore obvious thatcompanies want to eliminate unplanned downtime in the production process. In the wake of the still increasing demands in termsof productivity and safety requirements, cost reduction, the industry is forced to seek the optimum between economic requirementsand an acceptable level of risk in terms of security. Modern factories equipped with computerized processes and extensive diagnostictools often do not use all the information that is collected from the hardware level. It happens that some of the relationshipsbetween events are often overlooked or neglected.The article presents an approach to increasing machine reliability through predictive data analysis. The assumptions of the predictiveand preventive maintenance methods are presented. The threats and possibilities offered by this methodology implemented inthe production process are presented.

scholarly journals Integrated Predictive Diagnostics: An Expanded View

1996 ◽  
Author(s):  
Robert J. Hansen ◽  
David L. Hall ◽  
G. William Nickerson ◽  
Shashi Phoha
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Dynamic Models ◽  
Approximate Reasoning ◽  
Distributed Monitoring ◽  
Predictive Diagnostics ◽  
Diagnostic Capability ◽  
Geographically Distributed ◽  
Fusion Signal ◽  
Human Factors Research

In a previous paper (Hansen et al., 1995), a conceptual framework for developing a true prognostic or predictive diagnostic capability was described. The current paper expands on this framework by describing micro-mechanical and dynamic models, sensors and data fusion, signal processing, approximate reasoning, distributed architecture, and human factors research and development being conducted to provide such a capability for a broad range of applications. These include both autonomous and man-in-the-loop decision making about maintenance actions and local and geographically distributed monitoring and data analysis architectures.

scholarly journals Network Failure Detection and Diagnosis by Analyzing Syslog and SNS Data: Applying Big Data Analysis to Network Operations

2019 ◽  
Vol 8 (9S3) ◽  
pp. 883-887
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Failure Detection ◽  
Big Data Analysis ◽  
Interpersonal Interaction ◽  
Network Failure ◽  
Network Operations ◽  
Failure Detection And Diagnosis ◽  
Detection And Diagnosis

We present two major information examination strategies for diagnosing the reasons for system disappointments and for identifying system disappointments early. Syslogs contain log information created by the framework. We dissected syslogs what's more, prevailing with regards to distinguishing the reason for a system disappointment via consequently learning more than 100 million logs without requiring any past learning of log information. Investigation of the information of an interpersonal interaction benefit (in particular, Twitter) empowered us to recognize conceivable system disappointments by extricating system disappointment related tweets, which represent under 1% of all tweets, continuously and with high exactness.

scholarly journals Kolaborasi Pencegahan Dan Penanggulangan Covid-19 Di Kota Baubau

2021 ◽  
Vol 4 (2) ◽  
pp. 743-758
Author(s):  
Zainul Abidin ◽  
Nurhayati Nurhayati ◽  
La Didi ◽  
Suharny Suharny
Keyword(s):  
Social Capital ◽  
Data Analysis ◽  
Data Collection ◽  
Research Design ◽  
Prevention And Control ◽  
Community Based ◽  
Analysis Technique ◽  
System Maintenance ◽  
Descriptive Approach ◽  
And Control

This study aims to describe the collaboration for the prevention and control of COVID-19 in Baubau City. This research is important because there are problems in the dynamics of collaboration, especially related to maintenance, as well as to describe the uniqueness that occurs. The research design used was qualitative with a descriptive approach. Data collection techniques using observation, interviews, and documents. The data analysis technique uses an interactive model. The results of the study show that community-based collaboration has been implemented, especially in Wajo and Lakologou Villages through the construction of tough villages by having order and security toughness, information resilience, psychological toughness and cultural toughness. There is also maintenance or system maintenance. However, the maintenance or maintenance of tough villages in Lakologou Village has stronger characteristics and has more potential for sustainability. The collaboration that occurs is able to bring in new contributors, social capital and condition sustainability. A tough village with its various tools should be maintained and even improved for other interests in the future.

A Big Data implementation of the MANTIS reference architecture for predictive maintenance

2019 ◽  
Vol 233 (10) ◽  
pp. 1361-1375
Author(s):  
Felix Larrinaga ◽  
Javier Fernandez-Anakabe ◽  
Ekhi Zugasti ◽  
Iñaki Garitano ◽  
Urko Zurutuza ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Remaining Useful Life ◽  
Predictive Maintenance ◽  
Reference Architecture ◽  
Implementation Support ◽  
Physical Systems ◽  
Root Cause ◽  
Hadoop Distributed File System ◽  
Useful Life

This article presents the implementation of a reference architecture for cyber-physical systems to support condition-based maintenance of industrial assets. It also focuses on describing the data analysis approach to manage predictive maintenance of clutch-brake assets fleet over the previously defined MANTIS reference architecture. Proposals for both the architecture and data analysis implementation support working on Big Data scenarios, due to the usage of related technologies, such as Hadoop Distributed File System, Kafka or Apache Spark. The techniques are (1) root cause analysis powered by attribute-oriented induction clustering and (2) remaining useful life powered by time series forecasting. The work has been conducted in a real use case within the H2020 European project MANTIS.

A Study on Applicability of Predictive Maintenance and Vibration Data Analysis by Fast Fourier Transform into Major Equipment of Submarine

2021 ◽  
Vol 4 (1) ◽  
pp. 14-21
Author(s):  
Donghoon Kim ◽  
Sang Woo Kang ◽  
Ji Hoon Lee ◽  
Kyung Mo Nam ◽  
Seong Hun Seong ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Data Analysis ◽  
Fast Fourier Transform ◽  
Predictive Maintenance ◽  
Vibration Data ◽  
Major Equipment
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