Wire Rope Reliability Assessment based on Damage Mechanics

Wahid, Achraf; Mouhib, Nadia; Ouardi, Abderrazak; Kartouni, Abdelkarim; Chakir, H.; Elghorba, Mohamed

doi:10.23940/ijpe.19.06.p26.17441750

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…Hence, the operational reliability of such structures depends mainly on maintenance and monitoring procedures. Uneven force can lead to wire rope breakage, which is a direct cause of several accidents [ [104] , [105] , [106] ]. (6) Reliability of foundation: Choosing crane foundations is also essential.…”

Section: Resultsmentioning

confidence: 99%

Identification and analysis of hoisting safety risk factors for IBS construction based on the AcciMap and cases study

Junjia,

Alias,

Haron

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Identification and analysis of hoisting safety risk factors for IBS construction based on the AcciMap and cases study

Junjia,

Alias,

Haron

et al. 2024

Heliyon

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“…The simplified expression of reliability in terms of fraction of life is provided by the relation follow [36]:…”

Section: Reliabilitymentioning

confidence: 99%

Fracture analysis of defect Chlorinated Poly Vinyl Chloride pipes based on burst pressure and prediction their fraction of life

Gugouch

Wahid²,

Bassir

et al. 2023

Frattura Ed Integrità Strutturale

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Most Chlorinated Poly Vinyl Chloride (CPVC) resins contain 63-69 % chlorine, in particular those used for the extrusion of plumbing tubes, due to this chlorination of basic PVC, CPVC offers a mixture of corrosion resistance and low installation costs for its main applications requiring service in non-ambient conditions. CPVC replaces copper owing to its economic gain and by virtue of its pressure resistance characteristics. In this article, we have been interested in fracture analysis and damage modeling of CPVC tubes by subject CPVC samples to burst pressure tests. We performed a set of burst tests on virgin and artificially damaged CPVC pipe at different notch lengths, then submitted the specimens to burst pressure tests, in addition to recording the pressure and time during these tests for use in conducting the study. The results of the burst tests were exploited to estimate the damage and reliability of the material, these two parameters allow us to follow the degradation of the pipes used; subsequently, we determined a new relationship between these two parameters through the fraction life. This makes it possible to predict the moment of damage acceleration and to intervene at the right time for engaging predictive maintenance.

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“…In addition to all these, failures can happen in key components such as barrier machines in railroad crossings (Grzechca et al, 2021a) and heavy Earth moving machinery. Maintenance processes in these systems analyse the faults by establishing causal relationships between cause, symptom and fault (Abouelanouar et al, 2018;Wahid et al, 2019). These types of failures are applicable in a variety of industries, including aluminium manufacturing, plastic manufacturing (Kolokas et al, 2020) and photovoltaic production (Arena et al, 2021).…”

Section: Fault Detection Techniquesmentioning

confidence: 99%

“…Maintenance processes in these systems analyse the faults by establishing causal relationships between cause, symptom and fault (Abouelanouar et al. , 2018; Wahid et al. , 2019).…”

Section: Rq1: What Are the Domains That Use Anomaly Detection For Pre...mentioning

confidence: 99%

Review of fault detection techniques for predictive maintenance

Divya

Bhasi

Kumar

2022

JQME

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PurposeThis study aims to bring awareness to the developing of fault detection systems using the data collected from sensor devices/physical devices of various systems for predictive maintenance. Opportunities and challenges in developing anomaly detection algorithms for predictive maintenance and unexplored areas in this context are also discussed.Design/methodology/approachFor conducting a systematic review on the state-of-the-art algorithms in fault detection for predictive maintenance, review papers from the years 2017–2021 available in the Scopus database were selected. A total of 93 papers were chosen. They are classified under electrical and electronics, civil and constructions, automobile, production and mechanical. In addition to this, the paper provides a detailed discussion of various fault-detection algorithms that can be categorised under supervised, semi-supervised, unsupervised learning and traditional statistical method along with an analysis of various forms of anomalies prevalent across different sectors of industry.FindingsBased on the literature reviewed, seven propositions with a focus on the following areas are presented: need for a uniform framework while scaling the number of sensors; the need for identification of erroneous parameters; why there is a need for new algorithms based on unsupervised and semi-supervised learning; the importance of ensemble learning and data fusion algorithms; the necessity of automatic fault diagnostic systems; concerns about multiple fault detection; and cost-effective fault detection. These propositions shed light on the unsolved issues of predictive maintenance using fault detection algorithms. A novel architecture based on the methodologies and propositions gives more clarity for the reader to further explore in this area.Originality/valuePapers for this study were selected from the Scopus database for predictive maintenance in the field of fault detection. Review papers published in this area deal only with methods used to detect anomalies, whereas this paper attempts to establish a link between different industrial domains and the methods used in each industry that uses fault detection for predictive maintenance.

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Wire Rope Reliability Assessment based on Damage Mechanics

Cited by 4 publications

References 5 publications

Identification and analysis of hoisting safety risk factors for IBS construction based on the AcciMap and cases study

Identification and analysis of hoisting safety risk factors for IBS construction based on the AcciMap and cases study

Fracture analysis of defect Chlorinated Poly Vinyl Chloride pipes based on burst pressure and prediction their fraction of life

Review of fault detection techniques for predictive maintenance

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