EXPERIMENTAL RESEARCH REGARDING THE APPLICATION OF THE PREDICTIVE MAINTENANCE PROCEDURE WITHIN PAPER INDUSTRY
0
Citation
0
Reference
20
Related Paper
Abstract:
This paper presents applicative studies related to the implementation of the supervisor system and predictive maintenance in the paper industry. After analyzing the predictive maintenance concept are presented using a case study the advantages of the predictive maintenance concept. The paper present the application of the predictive maintenance concept, at S.C. SOMES Dej Company for the black lye pump of regeneration boiler used in the paper industry. By analyzing the possible defect causes of the equipment it was elaborated a repair procedure, which follows the predictive maintenance methodology. In order to find out what are the damages of the equipment a vibration detector was used in order to collect the data. Analyzing the collected data some solutions has been proposed in order to avoid the possible damages. Key words: predictive maintenance, paper industryKeywords:
Supervisor
Proactive maintenance
Condition-Based Maintenance
Work order
Cite
Predictive maintenance needs to forecast the numbers of rejections at any overhaul point before any failure occurs in order to accurately and proactively take adequate maintenance action. In healthcare, prediction has been applied to foretell when and how to administer medication to improve the health condition of the patient. The same is true for maintenance where the application of prognostics can help make better decisions. In this paper, an overview of prognostic maintenance strategies is presented. The proposed data-driven prognostics approach employs a statistical technique of (i) the parameter estimation methods of the time-to-failure data to predict the relevant statistical model parameters and (ii) prognostics modelling incorporating the reliability Weibull Cumulative Distribution Function to predict part rejection, replacement, and reuse. The analysis of the modelling uses synthetic data validated by industry domain experts. The outcome of the prediction can further proffer solution to designers, manufacturers and operators of industrial product-service systems. The novelty in this paper is the development of the through-life performance approach. The approach ascertains when the system needs to undergo maintenance, repair and overhaul before failure occurs.
Prognostics
Maintenance actions
Condition-Based Maintenance
Predictive modelling
Cite
Citations (49)
Reliability Centered Maintenance (RCM) is the framework of preserving system functions, rather than preserving physical asset. RCM is used to evaluate planned maintenance schedule that will offers availability of equipment with both reliability and maintainability. This paper presents ABC Automobile Company case, where planned maintenance is possible with application of predictive maintenance strategy, which enables to take decision of maintenance action with evidence and reduce unneeded maintenance. The main principle of predictive maintenance is examining the important performance characteristics of equipment to select the most indicative parameters of condition which reflects functional failures. In proposals, vibration is selected as an important performance characteristic of rotating components. Through vibration monitoring several mechanical failures can be effectively predicted. Signals (such as through the use of vibration monitoring) emanating from the condition monitoring of equipment are frequently interpretative as per manufacturer’s recommendations, use of an expert system, or the threshold values established through the experience of inspectors are used (Wiseman and Jardine, 1999). The maintenance strategy adopted by ABC Automobile Company is preventive maintenance with manually collected condition monitoring data. That data usually indicates abnormality when actually failure occurs. This paper includes determination of the effectiveness of existing maintenance strategy and its comparisons with other strategies with improvement proposals. It outlines RCM analysis process and a test case of fans of paint booth process. This study concludes that RCM enables to evaluate planned maintenance action and incase of rotating components the vibration monitoring technique can be effectively used in predictive maintenance strategy. The paper reveals that the ABC Automobile Company can
Maintenance engineering
Cite
Citations (7)
An attempt has been made to develop a maintenance management support system for nuclear power plants based on a study of equipment life estimation technique.With the increase in operating experience of nuclear power plants, various kinds of the countermeasures for equipment degradation and more cost effective operations have recently been required. For this purpose, the improvement of maintenance programs are required, to evaluate actual equipment and parts reliability based on field data. So the authors examined the following methods to support maintenance work:(1) Systematic and efficient management method for equipment and parts data, concerning design information and their maintenance information.(2) Equipment life evaluation methods, based on statistical analysis of maintenance history data.(3) Equipment maintenance status evaluation method, using logic rules for decision knowhow that were obtained from experts.As the results of these examinations, a maintenance management support system was developed. This system is able to provide maintenance guidance, such as the results of propriety evaluation for current maintenance cycles, needs for maintenance works etc. The system functions were demonstrated and confirmed using simulated maintenance data.
Condition-Based Maintenance
Planned maintenance
Proactive maintenance
Maintenance engineering
Operational maintenance
Cite
Citations (2)
This paper describes a methodology which manages a building’s maintenance activities by focusing on the timing of maintenance activities. Its goal is to optimise the trade-off between cost, which is incurred through maintenance activities, and the components health, which varies as a result of maintenance frequency. Here existing data from a BMS is utilises and analysis is performed on this data, with the objective of scheduling maintenance for a component, based on the measured performance of that component. This paper will investigate which data analysis technique provides the most certainty when determining the expected performance level. The major outcome of this paper is to present the certainty levels for each data analysis technique and illustrate how the analysis can be used for predicting maintenance requirements. Also this paper will have presented a methodology for managing maintenance activities and an implementation of these results using a Decision Support Framework for maintenance management. This research is performed as part of a nationally funded project ‘Information Technology for Optimised Building Operation’ (ITOBO).
Component (thermodynamics)
Maintenance actions
Maintenance engineering
Certainty
Proactive maintenance
Cite
Citations (0)
Model Predictive Control
Cite
Citations (0)
This paper puts forward the concept of the broad sense predictive maintenance,inquiries into the basic content,the structure,and the application strategy of it and gives a more overall control model.Different enterprise,because of the difference of the equipment condition and equipments scale,production and the maintainer's qualities,has different strategy and method of equipments predictive maintenance.
Model Predictive Control
Cite
Citations (0)
The introduction of Industry 4.0 is expected to revolutionize current maintenance practices by reaching new levels of predictive (detection, diagnosis, and prognosis processes) and prescriptive maintenance analytics. In general, the new maintenance paradigms (predictive and prescriptive) are often difficult to justify because of their multiple inherent trade-offs and hidden systems causalities. The prediction models, in the literature, can be considered as a “black box” that is missing the links between input data, analysis, and final predictions, which makes the industrial adaptability to such models almost impossible. It is also missing enable modeling deterioration based on loading, or considering technical specifications related to detection, diagnosis, and prognosis, which are all decisive for intelligent maintenance purposes. The purpose and scientific contribution of this paper is to present a novel simulation model that enables estimating the lifetime benefits of an industrial asset when an intelligent maintenance management system is utilized as mixed maintenance strategies and the predictive maintenance (PdM) is leveraged into opportunistic intervals. The multi-method simulation modeling approach combining agent-based modeling with system dynamics is applied with a purposefully selected case study to conceptualize and validate the simulation model. Three maintenance strategies (preventive, corrective, and intelligent) and five different scenarios (case study data, manipulated case study data, offshore and onshore reliability data handbook (OREDA) database, physics-based data, and hybrid) are modeled and simulated for a time period of 20 years (175,200 h). Intelligent maintenance is defined as PdM leveraged in opportunistic maintenance intervals. The results clearly demonstrate the possible lifetime benefits of implementing an intelligent maintenance system into the case study as it enhanced the operational availability by 0.268% and reduced corrective maintenance workload by 459 h or 11%. The multi-method simulation model leverages and shows the effect of the physics-based data (deterioration curves), loading profiles, and detection and prediction levels. It is concluded that implementing intelligent maintenance without an effective predictive horizon of the associated PdM and effective frequency of opportunistic maintenance intervals, does not guarantee the gain of its lifetime benefits. Moreover, the case study maintenance data shall be collected in a complete (no missing data) and more accurate manner (use hours instead of date only) and used to continuously upgrade the failure rates and maintenance times.
Adaptability
Corrective maintenance
Cite
Citations (8)
In this article we intend to provide information about the dynamic machinery maintenance activity, by using vibration analysis. This method involves the usage of vibration as a measure of the proper functioning of equipment, in order to increase efficiency of repairs, and operational safety. This article has as a main topic vibration analysis, and in this domain we intend to emphasize the importance of the creation of a database, data acquisition and fault diagnosis, especially. Finally we want to show the necessity of implementing such a program of maintenance in a factory by revealing the main advantages the predictive maintenance offers, vibration analysis more precisely. Key words: predictive maintenance, vibration analysis, fault diagnosis
Factory (object-oriented programming)
Cite
Citations (0)
Data Analysis
Cite
Citations (2)
This paper presents a methodology to define a maintenance strategy for electrical equipment, including electric motors. This methodology is based on reliability-centered maintenance, and aims to ensure that the maintenance strategy results in maximum availability and efficiency of equipment and systems. The methodology is also compatible with the philosophy of integrated operations recently developed by the Norwegian petroleum industry to optimize the production from their mature oil fields. The first step is focused on the determination of the equipment criticality value. The paper proposes a methodology based on the Mudge method. Reliability criteria are adopted according to the criticality value. The maintenance intervals are determined considering the reliability criterion and the failure rate of each part of a motor. After determining criticality, the maintenance strategy and tasks are analyzed and determined based on failure modes and failure rates. To support this analysis, a procedure based on failure mode and effect analysis theory is used.
Maintenance engineering
Electrical equipment
Total productive maintenance
Cite
Citations (5)