root cause analysis for mining plant

root cause analysis for mining plant - hotel-macocha.cz

Root Cause Analysis The Process Mining Glossary Lana Labs. In Process Mining, the cause analysis can be automated and thus time can be saved Automated Root Cause Analysis If an automated root cause analysis is used, an algorithm identifies relevant influencing factors and forms rules for the problem causes To create the rules, the algorithm searches the existing data for conspicuous ...

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Root Cause Analysis – The Process Mining Glossary

The root cause analysis aims at finding process errors and their causes. In addition, the identified root cause structure is analyzed. These analyses make it possible to determine the proportion of errors found that have the same cause, for example. Process problems can

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APPLYING DATA MINING FOR ROOT-CAUSE ANALYSIS

2020-1-8  In any real process application, root-cause analysis needs adaptation to incorporate the ongoing changes in process behavior. A suitable adaptation algorithm is the sequential learning with fading. The fading is a convenient feature after maintenance activity on the plant. The sequential

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Automated Root Cause Analysis - Process Mining with

2017-2-27  The automated root cause analysis is further eliminating manual analysis in process mining tools and instead provides the analyst with process violations and their root causes in an automated fashion. With further automation, process mining will become attractive for a user group that the method has not yet been accessible to.

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[PDF] Temporal data mining for root-cause analysis of ...

We describe an application of temporal data mining for analyzing fault logs in an engine assembly plant. Frequent episode discovery framework is a model-free method that can be used to deduce (temporal) correlations among events from the logs in an efficient manner.

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Application of Data Mining for Quick Root-Cause ...

2017-1-27  The paper presents an application of the classification-and-regression-tree (CART) technique as a root-cause identification and production diagnostic tool, and presents case studies from real field data for gas wells using the plunger-lift system. Specifically, regression-tree analysis was performed on the basis of the available operation data.

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Pariket: Mining Business Process Logs for Root Cause ...

2015-3-23  Gupta N., Anand K., Sureka A. (2015) Pariket: Mining Business Process Logs for Root Cause Analysis of Anomalous Incidents. In: Chu W., Kikuchi S., Bhalla S. (eds) Databases in Networked Information Systems. DNIS 2015. Lecture Notes in Computer Science, vol 8999. Springer, Cham. https://doi.org/10.1007/978-3-319-16313-0_19

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Root Cause Analysis Tools and Techniques - Quality Digest

2017-3-17  • The “escape” root cause – the cause that resulted in the problem not being “caught” or detected. • The “systemic” root cause – the broader cause responsible for the local cause to be present in the first place. • This cause is often procedural in nature. Long term corrective action. Root Cause Analysis

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Root Cause Corrective Action (RCCA) Overview

2015-4-16  Root cause identification is the most important step. The problem will be solved only if the corrective action implemented is addressing the real root cause accurately. Root Cause Analysis (RCA) is a systematic approach to identify the actual root causes of a problem. Below are the tools frequently used in RCA. 5 Whys Analysis

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Process mining on machine event logs for profiling ...

2020-9-16  Some related work is available on the use of process mining for anomaly detection and root cause analysis in business processes. Calderón-Ruiz and Sepúlveda present an approach to extract behavioural patterns from both successful and failed business process event logs using the Performance Sequence Diagram Analysis algorithm. Both pattern sets are compared considering control flow and

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The Importance of Root Cause Analysis During Incident ...

2019-8-8  How to Conduct a Root Cause Analysis. A successful root cause analysis identifies all . root causes—there are often more than one. Consider the following example: A worker slips . on a puddle of oil on the plant floor and falls. A traditional investigation may find the cause

More

[PDF] Temporal data mining for root-cause analysis of ...

Engine assembly is a complex and heavily automated distributed-control process, with large amounts of faults data logged everyday. We describe an application of temporal data mining for analyzing fault logs in an engine assembly plant. Frequent episode discovery framework is a model-free method that can be used to deduce (temporal) correlations among events from the logs in an efficient manner.

More

Application of Data Mining for Quick Root-Cause ...

2017-1-27  The paper presents an application of the classification-and-regression-tree (CART) technique as a root-cause identification and production diagnostic tool, and presents case studies from real field data for gas wells using the plunger-lift system. Specifically, regression-tree analysis was performed on the basis of the available operation data.

More

Using a root cause analysis to solve plant mysteries

2021-2-11  Using a root cause analysis to solve plant mysteries and prevent unplanned downtime. It is everyone’s goal to avoid unplanned downtime. Unfortunately, the unexpected does happen, causing a flurry of activity to get equipment and processes back up and running. Ideally, this activity should include a root cause analysis (RCA) of what went wrong ...

More

Root Cause Failure Analysis: A Guide to Improve Plant ...

This book explains the concepts needed to effectively perform industrial troubleshooting investigations. It describes the methodology to perform Root Cause Failure Analysis (RCFA), one of the hottest topics currently in maintenance engineering. The book also describes how proper design, operation, and maintenance of the equipment help to enhance their reliability and provides the reader with ...

More

AI-Powered Root-Cause Analysis Minit

2021-6-29  Solution. To get the answers, run the AI-Powered Root-Cause Analysis, which is based on intelligently selected Machine Learning algorithms. With the Root Cause Analysis, you will be able to compute the combination of the influencing attributes and the root causes of faults and problems your process experiences.

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Root Cause Analysis: Rooting for Reliability - Reliable

2021-7-4  Root cause analysis is a continuous improvement tool that should be employed for reliability growth. If a failure mode exhibits a high-risk priority number (RPN), you may elect to initiate an RCA event to better understand the failure mode and to

More

Pariket: Mining Business Process Logs for Root Cause ...

2015-3-23  Process mining consists of extracting knowledge and actionable information from event-logs recorded by Process Aware Information Systems (PAIS). PAIS are vulnerable to system failures, malfunctions, fraudulent and undesirable executions resulting in anomalous trails and traces. The flexibility in PAIS resulting in large number of trace variants ...

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Root Cause Analysis Tools and Techniques - Quality Digest

2017-3-17  statement and effects of the problem to the true root cause. • It can be used on its own or in conjunction with the fishbone diagram analysis in moving from the chosen root cause to the true root cause. • Simply ask Why 5 times starting with the effect of the problem. • 5 Whys focuses the investigation toward true root cause and

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Root Cause Corrective Action (RCCA) Overview

2015-4-16  S4: Root Cause Encourage to perform RCA using proper tool such as 5 Whys analysis and fishbone diagram but not limited to these analysis tools. RCA should emphasize on both area: a) why problem happen (root cause of problem happen) b) why escapee (root cause of problem is not detected )

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Data mining root cause analysis findings IEEE

2017-1-26  Data mining root cause analysis findings. Abstract: Clients often associate Root Cause Analysis (RCA) with troubleshooting equipment failures. But it encompasses more than simple troubleshooting or identifying component failure causal factors. RCA investigators systematically drill deep into an organization's standards, policies and ...

More

The Importance of Root Cause Analysis During Incident ...

2019-8-8  How to Conduct a Root Cause Analysis. A successful root cause analysis identifies all . root causes—there are often more than one. Consider the following example: A worker slips . on a puddle of oil on the plant floor and falls. A traditional investigation may find the cause

More

Root Cause Failure Analysis Training ... - Mining

2014-10-17  IDCON’s Root Cause Problem Elimination™ is a simplified, structured and practical method for the frontline organisation to use on the plant floor. By training the frontline and implementing basic problem methods, IDCON finds that 80% to 90% of all problems can be eliminated.

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[0904.4608] Temporal data mining for root-cause

2009-4-30  Title: Temporal data mining for root-cause analysis of machine faults in automotive assembly lines Authors: Srivatsan Laxman , Basel Shadid , P. S. Sastry , K. P. Unnikrishnan (Submitted on 29 Apr 2009 ( v1 ), last revised 30 Apr 2009 (this version, v2))

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Application of Data Mining for Quick Root-Cause ...

2017-1-27  The paper presents an application of the classification-and-regression-tree (CART) technique as a root-cause identification and production diagnostic tool, and presents case studies from real field data for gas wells using the plunger-lift system. Specifically, regression-tree analysis was performed on the basis of the available operation data.

More

Using a root cause analysis to solve plant mysteries

2021-2-11  Using a root cause analysis to solve plant mysteries and prevent unplanned downtime. It is everyone’s goal to avoid unplanned downtime. Unfortunately, the unexpected does happen, causing a flurry of activity to get equipment and processes back up and running. Ideally, this activity should include a root cause analysis (RCA) of what went wrong ...

More

AN INVESTIGATION INTO ROOT CAUSE FAILURE

2016-11-26  To increase plant availability, oil and gas companies implement various reliability improvement actions including root cause failure analysis (RCFA). RCFA aims to identify underlying root causes, control and prevent them from recurrence [1-4]. To be effective, RCFA requires proper and systematic analysis process and tools. The problem

More

Root Cause Failure Analysis: A Guide to Improve Plant ...

This book explains the concepts needed to effectively perform industrial troubleshooting investigations. It describes the methodology to perform Root Cause Failure Analysis (RCFA), one of the hottest topics currently in maintenance engineering. The book also describes how proper design, operation, and maintenance of the equipment help to enhance their reliability and provides the reader with ...

More

Root Cause Analysis: Rooting for Reliability - Reliable

2021-7-4  Root cause analysis is a continuous improvement tool that should be employed for reliability growth. If a failure mode exhibits a high-risk priority number (RPN), you may elect to initiate an RCA event to better understand the failure mode and to

More

Root Cause Analysis Explained Reliable Plant

2020-8-13  Root cause analysis (RCA) is defined as a systematic process for identifying the root causes of problems or events and an action plan for responding to them. Many organizations tend to focus on or single out one factor when trying to identify a cause,

More

Failure analysis expertise to boost root cause analysis ...

2017-8-23  Root cause analysis is a problem solving method used for identifying the root causes of problems, and is applied methodically to identify and correct the root causes of events. ... Mining Supporting your mining operations, from plant design expertise to

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Data mining root cause analysis findings IEEE

2017-1-26  Data mining root cause analysis findings. Abstract: Clients often associate Root Cause Analysis (RCA) with troubleshooting equipment failures. But it encompasses more than simple troubleshooting or identifying component failure causal factors. RCA investigators systematically drill deep into an organization's standards, policies and ...

More

Iterative Root Cause Analysis Using Data Mining in ...

exploited to conduct root cause analysis. It took the form of action research and is conducted in industry at an organisation unit responsible for the research and development of mobile base station equipment. In this thesis, we survey existing literature on how data mining has been used to address root cause analysis.

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Root Cause Failure Analysis Training ... - Mining

2014-10-17  IDCON’s Root Cause Problem Elimination™ is a simplified, structured and practical method for the frontline organisation to use on the plant floor. By training the frontline and implementing basic problem methods, IDCON finds that 80% to 90% of all problems can be eliminated.

More

Data Mining Based Root-Cause Analysis of

2017-12-20  Data Mining Based Root-Cause Analysis of Performance Bottleneck for Big Data Workload Abstract: Straggler task is commonly considered as the major bottleneck in parallel data processing. Previous work mainly focuses on the coarse-grained straggler detection and optimization such as speculative scheduling.

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AN INVESTIGATION INTO ROOT CAUSE FAILURE

2016-11-26  To increase plant availability, oil and gas companies implement various reliability improvement actions including root cause failure analysis (RCFA). RCFA aims to identify underlying root causes, control and prevent them from recurrence [1-4]. To be effective, RCFA requires proper and systematic analysis process and tools. The problem

More

Reliability-Centered Maintenance and Root Cause

2016-12-2  A root-cause analysis can be presented visually, organizing all causes for a particular incident. Here, a Cause Map™, with a single incident to the left connected to boxes branching out to the right, can detail each cause and showing how they relate. In a Cause Map™, all causes relate to each other in what are called “AND” relationships.

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Root Cause Analysis Explained Reliable Plant

2020-8-13  Root cause analysis (RCA) is defined as a systematic process for identifying the root causes of problems or events and an action plan for responding to them. Many organizations tend to focus on or single out one factor when trying to identify a cause,

More

Root Cause and Risk Bow Tie Analysis - Risk

2021-7-6  Root Cause and Bow Tie Analysis are the keys to the effective and proactive management of Risk. Prevention is better than Cure and prevention comes from managing risk at its source, the root causes. In addition, root cause analysis applied to incident management allows us to understand where things went wrong, to identify the issues and develop ...

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Root Cause Analysis (RCA) Process Steps.

2017-11-7  Root Cause Analysis (RCA) Step-By-Step Guide RCA is a process for identifying the basic or contributing causal factors that underlie variations in performance associated with adverse events or close calls. An RCA is a specific type of focused review that is used for all patient

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