With Root cause analysis, you can compare the influence of case fields on a certain behavior to find significant data influencers for specific process situations.A set of cases is defined based on the period filter. This selection is called Reference cases.Within this set of cases, you can select the behavior that you want to analyze.

Learn from these 5 Root Cause Analysis examples. Explore why it matters & how it drives change in complex issues. Boost your RCA skills now. ... A mining company faced recurring failures of critical equipment, leading to downtime and lost productivity. ... A manufacturing plant experienced a high rate of product defects, affecting customer ...

DOI: 10.1016/J.IFACOL.2017.08.2208 Corpus ID: 126012533; Root Cause Diagnosis of Oscillation-Type Plant Faults Using Nonlinear Causality Analysis @article{Chen2017RootCD, title={Root Cause Diagnosis of Oscillation-Type Plant Faults Using Nonlinear Causality Analysis}, author={Hanzhi Chen and Chunhui Zhao and …

The purpose of this study is to develop a text clustering-based cause and effect analysis methodology for incident data to unfold the root causes behind the incidents. A cause-effect diagram is usually prepared by using experts' knowledge which may fail to capture all the causes present at a workpla …

Root Cause Failure Analysis can be one of the strongest tools your maintenance organization ever puts its hands around since it helps improving reliability of plant …

The optimal causal map is finally obtained to locate the root cause variables of the fault. 5. Experimental results. This section shows the application of the proposed fault root cause diagnosis framework above to the predecomposition system in this cement production process for root cause diagnosis and propagation path analysis of faults.

Process mining is a set of techniques in the field of process management that have primarily been used to analyse business processes, for example for the optimisation of enterprise resources. In this research, the feasibility of using process mining techniques for the analysis of event data from machine logs is investigated. A …

Power outages have been an inevitable part of power delivery systems. In case of large scale outages with conflicting information in the distribution network with distributed energy resources (DER), recognition of the root causes becomes increasingly complex. Root cause detection is very important for routing the crew and for faster …

Process monitoring and fault root cause analysis of industrial processes play a critical role to inform timely maintenance and ensure safe production. Existing distributed monitoring frameworks are able to determine the fault occurrence units, but often fall short on fault causality analysis for deeper insights. Therefore, it is necessary to conduct further …

Root Cause Management Diagnose underlying problems and errors in mining processes with root cause analysis Diagnose underlying problems and errors in mining processes with root cause analysis Root Cause Management Overview Our Performance Management Services Why Unison Mining Overview Diagnose underlying problems …

Root Cause Analysis Executive Summary Plants and factories today are growing increasingly larger and more complicated. Because of these complexities, operators are easily overloaded from analyzing and searching large amounts of information to determine the root cause of problems.

event logs of a fleet of inverters from several solar plants. Keywords Process mining ·Event logs ·Industrial machinery ·Irregular behaviour ·Profiling ·Root cause analysis 1Introduction Internet-of-Things (IoT) technology increasingly finds its way to the industrial domain, and as most IT-related phenomena, the growth of (event) data ...

Identify the priority (i.e. highest ranking hazards) for a root-cause analysis, which is a systematic process for identifying factors and causal relationships that contribute to a …

An analysis of the failure of LP turbine blades of a 210 MW thermal power plant has been presented in this paper. The blade material is of 12% Cr steel with tempered martensitic microstructure.

A method has been developed at Savannah River plant (USA) to systematically evaluate events, identify their root causes, record the root causes, and analyze the root trends. By providing a systematic method to identify correctable root causes, the system helps the event investigator ask the right questions during the investigation. It also provides an …

A novel alarm root-cause association analysis method based on actual topological constraints, for alarm diagnosis in power supply system, which can mine the associations from both statistical point and topology point, which is helpful to detect whether there are missing alarms during the alarm floods or provide tips for alarms diagnosis in data …

A data-driven and unsupervised alarm analysis framework, which can effectively compress massive alarm events and improve the efficiency of root cause localization and is more suitable for operation and maintenance analysis in communication networks. With the growing demand for data computation and communication, the size …

How to conduct an effective root cause analysis in 4 steps. You can conduct root cause analysis with the help of a range of different tools and techniques. Though these processes may look different, they all share a common goal: fixing the root cause of an issue. To do a root cause analysis the right way, you should follow four …

The primary purpose of root cause analysis is to study a problem systematically and reveal its root cause. Moreover, RCA aims to provide a complete understanding of how …

Fault tree analysis is a systematic safety analysis tool that proceeds deductively from the occurrence of an undesired event (accident) to the identification of the root causes of that event [15]. Fault tree analysis starts with a "top event" that generally display with rectangular and related events based on logical relations with the top ...

Thus, fault propagation leads to many alarm annunciations in control rooms, which could distract operators from root causes of abnormal situations and create safety concerns. As a result, alarm root cause analysis has become an increasingly important topic of research investigated by many researchers.

DOI: 10.1016/J.ENGFAILANAL.2015.07.037 Corpus ID: 111717767; Analysis of the criticality of flaws found in trunnion of grinding ball mills used in mining plants @article{Neves2016AnalysisOT, title={Analysis of the criticality of flaws found in trunnion of grinding ball mills used in mining plants}, author={Mauricio M. das Neves and Arnaldo …

Root cause analysis is successful because it imposes a structure on thinking about what, when and where a success or failure has occurred, and it generates actions that lead to future improvements. This case study concerns the construction of road tunnels close to an underground railway. ... Lessons learned from a major plant shutdown. Mining ...

find out how the application of the RFMEA (Risk Failure Mode Effect Analysis) method for the analysis of the root causes of fires in the Pacitan Coal Fired Power Plant case study uses a quantitative approach to find the root causes of prevention by respondents. from PT. PJB UBJOM Pacitan at manager and supervisor level.

Root cause management often relies on analyzing sensor and equipment data to identify patterns and correlations between incidents and their underlying causes. By effectively using data-driven decision making, operations can be optimized to reduce costly …

Mining & Metals; Oil & Gas; Pharmaceuticals; Refining & Chemicals ... Blog; Summit; July 22, 2020 | Mark Paradies Oil and chemical refinery plant. Categories. Share. Share To Twitter; Share To Facebook; Share To LinkedIn; ... 2024 Troubleshooting and Root Cause Analysis of Equipment Reliability Problems Read More about Troubleshooting and Root ...

In the present incident, one of the rollers of grinding mill in cement plant failed during operation, exhibiting longitudinal cracking over inner surface. Deposition welding was carried out just before the incident to match the worn-out profile of the roller. Investigation revealed that the subsurface of the cracked region contained …

Promoting process-oriented multi-dimensional root-cause analysis by combining knowledge graph-related technologies with universal process mining technologies. Based on the process knowledge graph embedding trained by a hyperbolic neural network, a hyperbolic cluster-based community detection mechanism is researched.

Process mining is a research domain that enables businesses to analyse and improve their processes by extracting insights from event logs. While determining the root causes of, for example, a ...

Performing root cause analysis in technical systems is usually challenging owing to the complex failure associations which often exist between inter-connected system components. ... hence the availability of maintenance data has enhanced the potential for applying multivariate analysis and clustering data mining techniques for causal …