Condition-Based Maintenance—An Extensive Literature Review

Quatrini, Elena; Costantino, Francesco; Gravio, Giulio Di; Patriarca, Riccardo

doi:10.3390/machines8020031

Cited by 60 publications

(41 citation statements)

References 213 publications

(379 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Penelitian ini bertujuan untuk membuat peralatan monitor yang dapat memudahkan petugas PLN memantau beban trafo tiang dengan cepat, baik kondisi beban tidak seimbang ataupun trafo beban lebih [3] secara visual dan informasi beban lewat sms guna tindakan preventive atau Condition Base Maintenace (CBM) [4] transformator distribution sehingga dapat mempertahankan Lifetime [5] serta Health index Distribution Transformer [6]. Manfaat yang diharapkan dari pengukuran beban trafo distribusi adalah petugas dapat mengetahui perkembangan beban trafo tanpa mengunjungi gardu tiang yang cuckup banyak, sehingga jika terjadi hal-hal yang tidak normal dapat segera diambil tindakan secepat mungkin.…”

Section: Gambar 1 Root Couse Problem Solvingunclassified

“…HASIL DAN PEMBAHASAN Metode Condition Base Maintenace (CBM) [4] perlu dilaksanakan untuk mencegah terjadinya kerusakan peralatan secara tiba-tiba dan untuk mempertahankan unjuk kerja peralatan semaksimal mungkin, sesuai umur teknisnya (life time Transformer). Disamping masalah teknis tentunya pelayanan terhadap pelanggan juga menjadi perhatian, khususnya saat terjadinya gangguan trafo petugas PLN belum menemukan cara untuk mengetahui sejak awal early warning terjadinya gangguan tersebut sebelum menerima laporan pengaduan dari pelanggan.…”

unclassified

See 1 more Smart Citation

Sistem Monitoring Beban Trafo Distribusi Secara Visual Dan Sms Gateway di PT PLN (Persero)

Musthofa¹,

Rahman²

2021

energi

View full text Add to dashboard Cite

Economic growth of the community encourages the increasing electricity demand. To meet the electricity demand, of course, it is necessary to increase the capacity of the distribution transformer with the addition of an insert transformer and a new transformer. So that the increasing number of installed transformers is not proportional to the number of officers measuring the transformer load. The problem is the number of transformers is 3,938 units at PLN UP3 Padang with only 70 teams of load measuring officers, so load measurement only reaches 68% in 2019. This is because load measurements are carried out manually by mandating substations one by one, thus requiring large human resources and costs. Under these conditions, an easy and fast load measurement monitoring system is needed. This study uses the Root Cause Problem Solving (RCPS) methodology and System and Equipment Design by creating a Visual Transformer Load Monitoring System and SMS Gateway. With this system and equipment, the load of the substation can be easily seen visually with a light indicator installed on the panel box of the substation pole, so that the condition of the transformer can be quickly identified. The telemetering function with SMS sends load data to officers so that the risk of transformer damage can be reduced because this tool is an early warning against unbalanced loads, one phase outages with the Condition Base Maintenance (CBM) principle so that PLN can maintain transformer lifetime and maintain service quality. Keywords: Load Monitor, Visual and SMS Gateway, Distribution Transformer

show abstract

Section: Gambar 1 Root Couse Problem Solvingunclassified

unclassified

Sistem Monitoring Beban Trafo Distribusi Secara Visual Dan Sms Gateway di PT PLN (Persero)

Musthofa¹,

Rahman²

2021

energi

View full text Add to dashboard Cite

show abstract

“…When considering the cases involving mechanical contact, the friction force is the first choice for an indicator. The problem that arises is how to develop fast and efficient data processing, which can be further included in the condition-based maintenance (CBM) [1][2][3]. Since mechanical contacts are unwanted occurrences, they should be detected in the early development stage.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2021

TFAMENA

View full text Add to dashboard Cite

This paper addresses the Coulomb dry friction force as a technical indicator for fast and efficient condition-based maintenance. To estimate the value of friction force, the Bayesian analysis is used. Instead of the complex Markov Chain Monte Carlo numerical method, a closed-form analytical solution is applied. Thus, a simple and efficient procedure for friction estimation is described. Such a solution in the Bayesian context is known as the conjugate prior. The procedure presented here is verified numerically and experimentally by directly comparing the estimated value with the measured one. Two families of conjugate priors, the gamma-exponential and the normal-gamma, are compared. It is shown that the latter is suitable for friction estimation. An additional parameter, the precision parameter, was proposed as a criterion for the acceptance of estimation.

show abstract

“…Reasons that can lead to this type of situation in real industrial processes are, for example, changes in the load input into the process, physiological aging of the equipment or drift caused by disturbance [1], different operational steps within the process not easily detectable [2]. Condition-based maintenance relies on the interpretation of measured values as signals of anomaly situations that suggest maintenance interventions [3]; in time-varying process a value could be expected or anomalous depending on the specific phase of the production, thus how to implement a proper condition-based maintenance in time-varying processes is currently an open challenge for research. It is worth noting that processes that operate under time-varying conditions are extremely common in the existing industrial scenario.…”

Section: Introductionmentioning

confidence: 99%

Clustering Application for Condition-based Maintenance in Time-varying Processes: A Review

Quatrini¹,

Colabianchi²,

Costantino³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

In the field of industrial process monitoring, more and more interest is being shown in specific process categories. These include time-varying processes, that is, those processes whereby the response one receives as output from the system depends on when the input signal is sent into it. There are many reasons for this process variability and such contexts are not always analyzed with this operational characteristic at their core. At the same time, interest in certain categories of techniques is also becoming more prominent, to meet certain application needs. Among these, clustering and unsupervised techniques in general are gaining ground. This is largely due to the difficulty of finding fault data with which to train, for example, supervised models. On the other hand, the clustering technique, on which this contribution focuses, also makes it possible to compensate for the lack of complete knowledge of the structure of the process itself. With these two considerations in mind, this contribution proposes a literature review on the topic of clustering applied in time-varying contexts, in the maintenance field. The aim is to present an overview of the main fields of study, the role of clustering in this context and the main clustering techniques used.

show abstract

Condition-Based Maintenance—An Extensive Literature Review

Cited by 60 publications

References 213 publications

Sistem Monitoring Beban Trafo Distribusi Secara Visual Dan Sms Gateway di PT PLN (Persero)

Sistem Monitoring Beban Trafo Distribusi Secara Visual Dan Sms Gateway di PT PLN (Persero)

Untitled

Clustering Application for Condition-based Maintenance in Time-varying Processes: A Review

Contact Info

Product

Resources

About