scholarly journals Prediction of Belt Drive Faults in Case of Predictive Maintenance in Industry 4.0 Platform

2021 ◽  
Vol 11 (21) ◽  
pp. 10307
Author(s):  
Artur Pollak ◽  
Sebastian Temich ◽  
Wojciech Ptasiński ◽  
Jacek Kucharczyk ◽  
Damian Gąsiorek
Keyword(s):  
Continuous Production ◽  
Predictive Maintenance ◽  
Production Costs ◽  
Maintenance Cost ◽  
Belt Drive ◽  
Manufacturing Companies ◽  
Maintenance System ◽  
Remaining Service Life ◽  
Reduced Costs ◽  
Belt Transmission

Continuous production maintenance cost is among one of the highest operational expenses for manufacturing companies. Proper planning of maintenance interventions results in optimized equipment use, higher product quality, and reduced costs. For a belt drive usefulness, it is important that it is properly stretched and has no defects. However, manual condition assessment requires a production line stop, which in turn causes production to stop with associated consequences. Continuous fault diagnosis for anomalies is a fundamental step in estimating a component’s remaining service life and then obtaining a reliable predictive maintenance system that reduces production costs. The presented work presents an approach to anomaly detection based on the vibrations obtained from the operation of the belt transmission.

Computer Based Expert System for Rotating Machinery: Preventive and Predictive Maintenance

1992 ◽  
Author(s):  
El-Adawi S. El-Mitwally ◽  
M. A. Rayan ◽  
N. H. Mostafa ◽  
Yehia M. Enab
Keyword(s):  
Expert System ◽  
Preventive Maintenance ◽  
Rotating Machinery ◽  
Predictive Maintenance ◽  
Production Costs ◽  
Operating Cycle ◽  
Maintenance System ◽  
Computer Based ◽  
Points Of View ◽  
Parameters Of Interest

Abstract At the present time, the maintenance of the equipment becomes an essential task for any production system. This task is becoming more important from both the quantity and the quality points of view, particularly in developing countries. Initiating a maintenance system controlled by the computer will be valuable and effective. The developed expert system is a combination of an intelligent inference engine matched with a database of information. This system will enable the operator to spot instantaneously the parameters of interest. The expert maintenance system will be designed to perform preventive maintenance tasks and detects faults/failure during the operating cycle. Predictive maintenance enables the operator to minimize the shut down time of faulty equipment and hence increases the productivity. Furthermore, the system will minimize the probable human faults and reduce production costs.

scholarly journals Optimization of Maintenance Activity Using the World-Class Maintenance System in Skidder Forest Operations

2019 ◽  
Vol 11 (10) ◽  
pp. 162 ◽  
Author(s):  
Carlos Cézar Cavassin Diniz ◽  
Diellen Lydia Rothbarth ◽  
Eduardo da Silva Lopes ◽  
Gabriel de Magalhães Miranda ◽  
Henrique Soares Koehler ◽  
...  
Keyword(s):  
Eucalyptus Grandis ◽  
Production Costs ◽  
Maintenance Cost ◽  
Maturation Stage ◽  
Hydraulic Oil ◽  
Maintenance System ◽  
Time Between Failures ◽  
World Class ◽  
Maintenance Activities ◽  
Proactive Maintenance

The objective of this paper was to evaluate technical and economically the use of a world-class maintenance system (WCM) in the forest skidding operations. The study was performed in a forest company located in the state of Paraná, inside forest plantations of Pinus taeda and Eucalyptus grandis. For the purpose of analysis, the mechanical availability, hydraulic oil consumption, average time between failures, average repair time, proactive maintenance index and maintenance costs were evaluated during 18 months, considering the stages of implantation, maturation and stabilization of the WCM system. As a result, there was an increase in the percentage of mechanical availability and reduction of 47.0% in the consumption of hydraulic oil from Skidder in the maturation stage. Also, the average time between failures and repairs increased in the maturation stage, caused by a quality improvement of maintenance activities. Moreover, in the maturation stage there was an increase of 45.0% in the proactive maintenance index. Additionally, it was verified that the hourly maintenance cost was reduced by 8.0% between the maturation and stabilization stages, underlining the WCM system’s potential to improve maintenance activities in the forest skidding operation. These results show that the WCM system can contribute to safety in wood harvesting operations, increasing the Skidder mechanical availability and a reducing the production costs.

scholarly journals Research and Test of Three-Pulley Noncircular Synchronous Pulley Transmission Mechanism with Minimum Slack

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Jianneng Chen ◽  
Xincheng Sun ◽  
Chuanyu Wu ◽  
Dadu Xiao ◽  
Jun Ye
Keyword(s):  
Optimization Design ◽  
Simulation Analysis ◽  
Transmission Mechanism ◽  
Driving Mechanism ◽  
Belt Drive ◽  
Drive Mechanism ◽  
Automatic Optimization ◽  
Pitch Curve ◽  
Synchronous Belt Drive ◽  
Belt Transmission

AbstractThe noncircular synchronous belt drive mechanism has demonstrated certain achievements and has been used in special fields. Research regarding noncircular synchronous belt drive mechanisms has focused on optimization design and kinematic analysis in China, whereas two pulley noncircular synchronous belt transmissions have been developed overseas. However, owing to the noncircular characteristics of the belt pulley, the real-time variation in the belt length slack during the transmission of the noncircular synchronous belt is significant, resulting in high probabilities of skipping and vibration. In this study, a noncircular tensioning pulley is added to create a stable three-pulley noncircular synchronous belt driving mechanism and a good synchronous belt tensioning, with no skipping; hence, the non-uniform output characteristic of the driven pulley is consistent with the theoretical value. In the circular noncircular noncircular three-pulley noncircular synchronous belt mechanism, the pitch curve of the driving synchronous belt pulley is circular, whereas those of the driven synchronous belt and tensioning pulleys are noncircular. To minimize the slack of the belt length of the synchronous belt and the constraint of the concavity and circumference of the tensioning pulley, an automatic optimization model of the tensioning pulley pitch curve is established. The motion simulation, analysis, and optimization code for a three-belt-pulley noncircular synchronous belt drive mechanism is written, and the variation in belt length slack under different speed ratios is analyzed based on several examples. The testbed for a circular–noncircular–noncircular three-pulley noncircular synchronous belt transmission mechanism is developed. The test shows that the three-pulley noncircular synchronous belt drives well. This study proposes an automatic optimization algorithm for the tensioning pulley pitch curve of a noncircular synchronous belt transmission mechanism; it yields a stable transmission of the noncircular synchronous belt transmission mechanism as well as non-uniform output characteristics.

Combined Cycle Powerplant Cost Sensitivity Analysis

2021 ◽  
Author(s):  
Pugalenthi Nanadagopal ◽  
Animesh Pandey ◽  
Manjunath More ◽  
Pertik Kamboj
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Combined Cycle ◽  
Maintenance Cost ◽  
Combine Cycle Power Plant ◽  
Manufacturing Companies ◽  
Levelized Cost Of Electricity ◽  
Combine Cycle ◽  
Electrical Generation ◽  
The Impact

Abstract In Gas turbine-based combined cycle power plant market, the customer conducts an economic evaluation of competitive products to decide their buying option. There are different methods to calculate the economics of a power plant like Levelized cost of electricity (LCOE), Net present value (NPV) and payback period. LCOE methodology is commonly used for lifecycle cost analyses for combine cycle power plant that covers cost details of the plant and plant performance over the complete lifetime of a power plant from construction to retiring. Typically, it includes a combine cycle power plant ownership costs (Total plant cost and operating & maintenance cost) and combine cycle power output and efficiency. This LCOE method is helpful to compare power generation system that use similar technologies. This paper encompasses the LCOE calculation method, assumptions & approach to analyze the impact of key parameters of the electrical generation cost. They key parameters includes combine cycle output, combine cycle efficiency, fuel cost, annual operating hours, capital charge factor, annual operating hours, power plant life, discount rate, nominal escalation rate, operating & maintenance cost. This paper analyses result will provide insights to the customer & Gas turbine-based OEM (Own Equipment Manufacturing) companies to focus on different area/parameters to reduce the unit cost of generating electricity.

scholarly journals Predictive Maintenance System for Extruders

Seikei-Kakou ◽  
2021 ◽  
Vol 33 (2) ◽  
pp. 54-56
Author(s):  
Tasuku Okimoto
Keyword(s):  
Predictive Maintenance ◽  
Maintenance System

SINGLE-MACHINE MULTIPLE-RECIPE PREDICTIVE MAINTENANCE

2013 ◽  
Vol 27 (2) ◽  
pp. 209-235 ◽  
Author(s):  
Yiwei Cai ◽  
John J. Hasenbein ◽  
Erhan Kutanoglu ◽  
Melody Liao
Keyword(s):  
Optimal Policy ◽  
Predictive Maintenance ◽  
Production Costs ◽  
Threshold Policy ◽  
Discrete Time Markov Chain ◽  
System A ◽  
Long Run ◽  
Monotonicity Result ◽  
Maintenance Policies ◽  
Discounted Costs

This paper studies a multiple-recipe predictive maintenance problem with M/G/1 queueing effects. The server degrades according to a discrete-time Markov chain and we assume that the controller knows both the machine status and the current number of jobs in the system. The controller's objective is to minimize total discounted costs or long-run average costs which include preventative and corrective maintenance costs, holdings costs, and possibly production costs. An optimal policy determines both when to perform maintenance and which type of job to process. Since the policy takes into account the machine's degradation status, such control decisions are known as predictive maintenance policies. In the single-recipe case, we prove that the optimal policy is monotone in the machine status, but not in the number of jobs in the system. A similar monotonicity result holds in the two-recipe case. Finally, we provide computational results indicating that significant savings can be realized when implementing a predictive maintenance policies instead of a traditional job-based threshold policy for preventive maintenances.

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