Analyzing Massive Machine Maintenance Data in a Computing Cloud

2012 ◽  
Vol 23 (10) ◽  
pp. 1831-1843 ◽  
Author(s):  
Arshdeep Bahga ◽  
Vijay K. Madisetti
Keyword(s):  
JEMAP ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Albertus Reynaldo Kurniawan ◽  
Bayu Prestianto

Quality control becomes an important key for companies in suppressing the number of defective produced products. Six Sigma is a quality control method that aims to minimize defective products to the lowest point or achieve operational performance with a sigma value of 6 with only yielding 3.4 defective products of 1 million product. Stages of Six Sigma method starts from the DMAIC (Define, Measure, Analyze, Improve and Control) stages that help the company in improving quality and continuous improvement. Based on the results of research on baby clothes products, data in March 2018 the percentage of defective products produced reached 1.4% exceeding 1% tolerance limit, with a Sigma value of 4.14 meaning a possible defect product of 4033.39 opportunities per million products. In the pareto diagram there were 5 types of CTQ (Critical to Quality) such as oblique obras, blobor screen printing, there is a fabric / head cloth code on the final product, hollow fabric / thin fabric fiber, and dirty cloth. The factors caused quality problems such as Manpower, Materials, Environtment, and Machine. Suggestion for consideration of company improvement was continuous improvement on every existing quality problem like in Manpower factor namely improving comprehension, awareness of employees in producing quality product and improve employee's accuracy, Strength Quality Control and give break time. Materials by making the method of cutting the fabric head, the Machine by scheduling machine maintenance and the provision of needle containers at each employees desk sewing and better environtment by installing exhaust fan and renovating the production room.


Actuators ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 27
Author(s):  
Sehrish Malik ◽  
DoHyeun Kim

The prediction mechanism is very crucial in a smart factory as they widely help in improving the product quality and customer’s experience based on learnings from past trends. The implementation of analytics tools to predict the production and consumer patterns plays a vital rule. In this paper, we put our efforts to find integrated solutions for smart factory concerns by proposing an efficient task management mechanism based on learning to scheduling in a smart factory. The learning to prediction mechanism aims to predict the machine utilization for machines involved in the smart factory, in order to efficiently use the machine resources. The prediction algorithm used is artificial neural network (ANN) and the learning to prediction algorithm used is particle swarm optimization (PSO). The proposed task management mechanism is evaluated based on multiple scenario simulations and performance analysis. The comparisons analysis shows that proposed task management system significantly improves the machine utilization rate and drastically drops the tasks instances missing rate and tasks starvation rate.


2021 ◽  
Author(s):  
Senthil Chandrasegaran ◽  
Xiaoyu Zhang ◽  
Michael Brundage ◽  
Kwan-Liu Ma

The article describes the current task of developing and improving existing technologies for machine maintenance throughout the entire life cycle. The use of modern achievements in the field of computer technology, digitization of information, as well as the development of artificial intelligence technologies, will allow you to get new scientific and engineering results aimed at managing the technical condition of machines in operation.


Author(s):  
Koji Makita ◽  
Thomas Vincent ◽  
Soichi Ebisuno ◽  
Masakatsu Kourogi ◽  
Tomoya Ishikawa ◽  
...  

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4628
Author(s):  
Michaela Hnilicová ◽  
Ján Turis ◽  
Richard Hnilica

The article dealt with the assessment of the quality of hydraulic oil and determination of the mode of wear of the friction surfaces of Baljer & Zembrod manipulating lines through the information traces in the oils by applying tribotechnical diagnostics. We presented the assessment of the level of degradation of the oils. In addition, we presented the mode of wear of the friction surfaces washed in oil through evaluation of the qualitative and quantitative characteristics of the particles found in the oil. In detail, we focused on the application of suitable multivariate statistical methods on the data matrix. The article also presents predictive models that can sort oils into groups based on the assessment of quality of the oil and the state of the friction couples. The models can be used in research and in solving practical tasks in tribotechnical diagnostics of hydraulic fluids in woodworking equipment. Our results showed that the manipulation lines were greatly thermically stressed due to inadequate oil and machine maintenance. By correlative integration of all methods used, we could determine the real mode of the wear of the tribologic nodes of the machine. The experiment enabled the early detection of an undesirable process in the tribological node and implementation of corrective measures before the machine would break down.


Author(s):  
M.A. Serekpayeva ◽  
◽  
G.А. Kokayeva ◽  
R.K. Niyazbekova ◽  
S. Kardybai ◽  
...  

The outcomes of studying epoxy-based composite materials supplemented with microsilica are provided in the article. Microsilica was used as a filler. The samples were produced on the epoxy ED-20 basis supplemented with 2, 5 and 10 mas. % of microsilica. The structure and size of finely dispersed filler particles were defined. The obtained composites were tested for resistance to the effect of variable temperatures, corrosive, and abrasion. The study outcomes proved that samples supplemented with 2% of microsilica are more resistant to acid and alkali as well as to petrol than those ones supplemented with 25% of microsilica. Besides the amount of the filler from 2 to 10% doesn’t sufficiently affect the resistance to variable temperatures. When microsilica is added to epoxy resin, it causes scuff resistance increase. The conducted testing proved that the developed composite materials are resistant to the effect of variable temperatures, corrosive, and abrasion. This enables to use these materials as coatings and anti-corrosion protection during machine maintenance.


Author(s):  
Malcolm Thomson ◽  
John Sims

To provide an efficient process for the final disposal of radioactive wastes, some nuclear sites are currently building suitable, temporary stores for such material. This paper describes the practical construction programme recently completed at a UK power reactor site under decommissioning. This site has a number of half height ISO containers filled with solid radioactive material that needed a temporary storage area before being consigned for final disposal. As a result, the site, Hunterston A Decommissioning Site, needed to construct some temporary radiation shield walls to contain the half height ISO containers (HHISO) and safeguard staff and public during the storage period. The chosen location of the temporary store was the Charge Machine Maintenance Building (CMMB), which was surplus to requirements during the decommissioning programme, providing a weatherproof environment. Following an in-depth study of the different forms of construction available, the commercially available, hollow, interlocking polyethylene block system was adopted. Because of its modular form, it has the advantage that it can to be dismantled and re-used at other locations, if required. Being hollow, the block could be filled with a variety of materials, such as water, sand, lead or iron shot, depending on the radioactive shielding needs. An important aspect of the modular plastic block was that it could be more easily installed, decontaminated and decommissioned than the cheaper concrete block system, which produces copious quantities of waste for disposal. This paper describes the choice of interlocking block shielding after comparisons with more conventional forms of construction, the features of the HHISO store design, the short duration building programme and the on-site experiences of the construction period.


Sign in / Sign up

Export Citation Format

Share Document