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Applications of Root Cause Analysis Method in the Domain of Industrial Safety
Occupational environment comprises of various potential hazards which many times, if left ignored, may cause accidents or incidents and injuries to...
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MMRCA: MultiModal Root Cause Analysis
Cloud systems are becoming increasingly complex and more difficult for human operators to manage due to the scale and interconnectedness of...
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Root Cause Analysis with Fuzzy Cognitive Maps and Correlation Coefficient
Production line calibration is a critical industrial task that requires thoroughly planned actions. Even tiny deviations from the optimal settings...
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A Method of Alarm Correlation and Root Cause Analysis in 5G Core Network
5G core network realizes three-layer decoupling based on virtualization technology, and the architecture is more flexible and complex. However, once...
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Root Cause Analysis Based on Trace for Mobile Network Problem
During the network operation, certain definite factors lead to the occurrence of some abnormal events, which will directly affect the service...
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Root Cause Analysis Reports for MIC/MID Cases: Practical Tips
Electrochemical corrosion has four elements (anode, cathode, a metallic path, and electrolyte). For non-metals, the first three elements are absent....
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Failure Root Cause Analysis for Microservices, Explained
Determining the root causes of observed failures is a main issue in microservice-based applications. Unfortunately, available root cause analysis...
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Engineering Runtime Root Cause Analysis of Detected Anomalies
The main objective of this work is to provide a unified, easy to configure and extensible end-to-end system that performs root cause analysis (RCA)...
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Failure Analytics of Defects in Mechanical Engineering Parts Using Root Cause Analysis: Case Study
The paper is devoted to creating a methodological approach to apply root cause analysis for solving the specific materials science task. The case...
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Combining Data-Driven Root Cause Analysis Methods in an Extended Root Cause Priority List
This paper addresses problems of fault propagation and resulting alarm floods in monitoring systems. In order to provide an efficient solution to all...
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Root Cause Analysis of Glass Fiber-Reinforced Polymer Composite Pipe Failed in Marine Environment
This research work undertakes root cause failure analysis of fractured glass fiber-reinforced polymer composite pipe. A sequential macro- and...
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Manufacturing Line-Level Root Cause Analysis and Bottleneck Detection Using the Digital Shadow Concept and Cloud Computing
The paper introduces a method for online detection of root-cause machine and bottleneck identification in manufacturing systems, aiming to enhance...
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Root cause detection of leakage in check valves using multi-scale signal analysis
Check valves are key components required to ensure that fluid flows in one direction. Internal cross-port leakage is a common fault that affects the...
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ABC in Root Cause Analysis: Discovering Missing Information and Repairing System Failures
Root-cause analysis (RCA) is a crucial task in software system maintenance, where system logs play an essential role in capturing system behaviours...
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Bayesian inference for multi-label classification for root cause analysis and probe card maintenance decision support and an empirical study
Probe cards have been employed as intermediary tools between the wafers and automatic test equipment to prevent defect dies from entering the...
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Root Cause Analysis of Failed AISI 440C High Carbon Stainless Steel Used in Aerospace Actuator Systems
AISI 440C is a high carbon martensitic stainless steel with superior wear and abrasion resistance among all grades of stainless steel. Hydraulic...
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Root-Cause Analysis
In this chapter, we will explore the main ideas. The Root-Cause Analysis will direct learners to simplification of initially stated problems and...
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Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average
Control charts are widely used as a tool in process quality monitoring to detect anomalies and to improve the quality of a process and product....
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A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill
Width-related defects are a common occurrence in the Hot Strip Mill process which can lead to extra processing, concessions, or scrap**. The...
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Root Cause Analysis to Improve Care: Getting Past Blame
Correctional organizations are challenged to conduct thorough and objective reviews of critical events, but often stop short of identifying the real...