Root cause analysis of rattle noise in twin-tube vehicle dampers

2021 ◽  
pp. 095440702110652
Author(s):  
Marian Sikora ◽  
Janusz Gołdasz
Keyword(s):  
Design Of Experiment ◽  
Ride Comfort ◽  
Design Parameters ◽  
Vehicle Suspension ◽  
Experiment Study ◽  
Cause Analysis ◽  
Root Cause ◽  
Main Effect ◽  
Definition Of ◽  
Insight Into

The aim of this work is to provide an insight into the rattle noise phenomena occurring in double-tube (twin-tube) vehicle suspension dampers. In the dampers the particular phenomenon results from interactions between the valve(s) and the fluid passing through them. The rattling noise phenomena is known to degrade the vehicle passenger’s perception of ride comfort as well as to influence the performance of the dampers at low and medium speeds in particular. In the paper the authors reveal the results of a DOE (Design of Experiment) study involving several design parameters known to affect rattling occurrence. By running a series of purpose-designed tests the authors investigate not only the contribution of each particular parameter but the interactions between them. The results are presented in the form of pareto charts, main effect plots as well as interaction plots. It is expected the outcome of the analysis will aid in a better comprehension of the phenomena as well the definition of valve configurations to minimize their performance degradation.

scholarly journals Unplanned return presentations of older patients to the emergency department: a root cause analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Babiche E. J. M. Driesen ◽  
Hanneke Merten ◽  
Cordula Wagner ◽  
H. Jaap Bonjer ◽  
Prabath W. B. Nanayakkara
Keyword(s):  
Older Patients ◽  
Root Cause Analysis ◽  
Initial Presentation ◽  
Future Research ◽  
Process Of Care ◽  
Related Factors ◽  
Cause Analysis ◽  
Root Cause ◽  
Progression Of Disease ◽  
Insight Into

Abstract Background In line with demographic changes, there is an increase in ED presentations and unplanned return presentations by older patients (≥70 years). It is important to know why these patients return to the ED shortly after their initial presentation. Therefore, the aim of this study was to provide insight into the root causes and potential preventability of unplanned return presentations (URP) to the ED within 30 days for older patients. Methods A prospective observational study was conducted from February 2018 to November 2018 in an academic hospital in Amsterdam. We included 83 patients, aged 70 years and older, with an URP to the ED within 30 days of the initial ED presentation. Patients, GPs and doctors at the ED were interviewed by trained interviewers and basic administrative data were collected in order to conduct a root cause analysis using the PRISMA-method. Results One hundred fifty-one root causes were identified and almost half (49%) of them were disease-related. Fifty-two percent of the patients returned to the ED within 7 days after the initial presentation. In 77% of the patients the URP was related to the initial presentation. Patients judged 17% of the URPs as potentially preventable, while doctors at the ED judged 25% and GPs 23% of the URPs as potentially preventable. In none of the cases, there was an overall agreement from all three perspectives on the judgement that an URP was potentially preventable. Conclusion Disease-related factors were most often identified for an URP and half of the patients returned to the ED within 7 days. The majority of the URPs was judged as not preventable. However, an URP should trigger healthcare workers to focus on the patient’s process of care and their needs and to anticipate on potential progression of disease. Future research should assess whether this may prevent that patients have to return to the ED.

Back to the Future Using Root Cause Analysis as a Proactive Risk Management Tool

2014 ◽  
Author(s):  
Phillip Nidd ◽  
Terence Thorn ◽  
Monica K. Porter
Keyword(s):  
Asset Management ◽  
Human Error ◽  
Root Cause Analysis ◽  
Management Tool ◽  
Management Tools ◽  
Cause Analysis ◽  
Root Cause ◽  
Management Standards ◽  
Underlying Causes ◽  
Definition Of

Root Cause Analysis (RCA) can be an effective proactive methodology to forecast or predict probable events even before they occur. It’s use has been embraced by regulators and can be found in the most advanced management tools such as the recently published ISO 55000 series of international management standards for asset management. An RCA identifies both the obvious and the underlying causes of an event so that specific solutions can be implemented. A complete RCA consists of a clear definition of the issue, a thorough analysis supported with evidence and a specific action plant for implementing solutions. In this respect, what may have appeared as a material failure or “human error,” can often be shown to be the result of an inadequate infrastructure management systems or the failure of management processes. Generally thought of as a reactive method of identifying the causes of past incidents, this paper will describe the elements of an RCA and how it can be a powerful tool to identify systems or behaviors that when modified or corrected, will prevent recurrence of similar outcomes.

Nodal screw compressor failure analysis using data analytics—CSG application

2015 ◽  
Vol 55 (1) ◽  
pp. 59
Author(s):  
Prashant Parulekar
Keyword(s):  
Statistical Analysis ◽  
Data Analytics ◽  
Screw Compressor ◽  
Cause Analysis ◽  
Root Cause ◽  
Statistical Measures ◽  
Using Data ◽  
Filter Signal ◽  
Data Analytic ◽  
Insight Into

An engine-driven oil-injected screw compressor in CSG service failed catastrophically. Instrumentation provided on the package was ineffective in predicting or detecting the failure. As part of the Root Cause Analysis (RCA) process, a statistical analysis of the logged instrument data, as measured across a period of six months prior to the failure, was carried out. This paper uses data analytic methods to process instrument data, data visualisation techniques, advanced statistical analysis of the instrument data, and techniques to filter signal noise. The analysis recognised the multivariate behaviour and interrelationships between various operating parameters. The paper further provides insight into the interpretation of statistical measures and how to draw conclusions that explain the failure mechanism. The outcomes of the analysis presented in this paper then provided insights into establishing operating envelopes, proposed instrumentation upgrades to be provided in future and helped establish an operation and maintenance regime that should assist in preventing such failures in future.

scholarly journals Optimisation and Control of Vehicle Suspension Using Linear Quadratic Gaussian Control

2018 ◽  
Vol 68 (1) ◽  
pp. 61-68
Author(s):  
Rame Likaj ◽  
Ahmet Shala
Keyword(s):  
Ride Comfort ◽  
Goal Function ◽  
Weighting Factor ◽  
Vehicle Body ◽  
Quadratic Program ◽  
Design Parameters ◽  
Vehicle Suspension ◽  
Optimal Parameters ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian

Abstract The paper deals with the optimal design and analysis of quarter car vehicle suspension system based on the theory of linear optimal control because Linear Quadratic Gaussian (LQG) offers the possibility to emphasize quantifiable issues like ride comfort or road holding very easily by altering the weighting factor of a quadratic criterion. The theory used assumes that the plant (vehicle model + road unevenness model) is excited by white noise with Gaussian distribution. The term quadratic is related to a quadratic goal function. The goal function is chosen to provide the possibility to emphasize three main objectives of vehicle suspensions; ride comfort, suspension travel and road holding. Minimization of this quadratic goal function results in a law of feedback control. For optimal designs are used the optimal parameters which have been derived by comparison of two optimisation algorithms: Sequential Quadratic Program (SQP) and Genetic Algorithms (GA's), for a five chosen design parameters. LQG control is considered to control active suspension for the optimal parameters derived by GA's, while the main focus is to minimise the vertical vehicle body acceleration

Root Cause analysis of SG tube ODSCC indications within the tube sheets of NPP biblis unit A

2011 ◽  
pp. 78-86
Author(s):  
R. Kilian ◽  
J. Beck ◽  
H. Lang ◽  
V. Schneider ◽  
T. Schönherr ◽  
...  
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause

Rule Construction and its Execution for Root Cause Analysis

2012 ◽  
Vol 132 (10) ◽  
pp. 1689-1697
Author(s):  
Yutaka Kudo ◽  
Tomohiro Morimura ◽  
Kiminori Sugauchi ◽  
Tetsuya Masuishi ◽  
Norihisa Komoda
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause
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