A Dynamic Reliability-Centered Maintenance Analysis Method for Natural Gas Compressor Station Based on Diagnostic and Prognostic Technology

2015 ◽  
Vol 138 (6) ◽  
Author(s):  
Dengji Zhou ◽  
Huisheng Zhang ◽  
Yi-Guang Li ◽  
Shilie Weng
Keyword(s):  
Natural Gas ◽  
Preventive Maintenance ◽  
Condition Based Maintenance ◽  
Equipment Management ◽  
Analysis Method ◽  
Dynamic Reliability ◽  
Maintenance Schedule ◽  
Reliability Centered Maintenance ◽  
Maintenance Decision ◽  
Maintenance Model

The availability requirement of natural gas compressors is high. Thus, current maintenance architecture, combined periodical maintenance and simple condition based maintenance, should be improved. In this paper, a new maintenance method, dynamic reliability-centered maintenance (DRCM), is proposed for equipment management. It aims at expanding the application of reliability-centered maintenance (RCM) in maintenance schedule making to preventive maintenance decision-making online and seems suitable for maintenance of natural gas compressor stations. A decision diagram and a maintenance model are developed for DRCM. Then, three application cases of DRCM for actual natural gas compressor stations are shown to validate this new method.

A Dynamic RCM Analysis Method for Natural Gas Compressor Station Based on Diagnostic and Prognostic Technology

2015 ◽  
Author(s):  
Dengji Zhou ◽  
Huisheng Zhang ◽  
Yi-Guang Li ◽  
Shilie Weng
Keyword(s):  
Natural Gas ◽  
Preventive Maintenance ◽  
Condition Based Maintenance ◽  
Equipment Management ◽  
Analysis Method ◽  
Dynamic Reliability ◽  
Maintenance Schedule ◽  
Reliability Centered Maintenance ◽  
Maintenance Decision ◽  
Maintenance Model

The availability requirement of natural gas compressors is high. Thus, current maintenance architecture, combined periodical maintenance and simple condition based maintenance, should be improved. In this paper, a new maintenance method, Dynamic Reliability-centered Maintenance (DRCM), is proposed for equipment management. It aims at expanding the application of Reliability-centered Maintenance (RCM) in maintenance schedule making to preventive maintenance decision making online and seems suitable for maintenance of natural gas compressor stations. A decision diagram and a maintenance model are developed for DRCM. Then three application cases of DRCM for actual natural gas compressor stations are shown to validate this new method.

Optimizing Maintenance for Multi-Unit Industrial Gas Turbine Installations

2010 ◽  
Author(s):  
Markus Bohlin ◽  
Mathias Wa¨rja
Keyword(s):  
Natural Gas ◽  
Gas Turbine ◽  
Preventive Maintenance ◽  
Gas Turbines ◽  
Economic Effects ◽  
Negative Effects ◽  
Component Level ◽  
Maintenance Schedule ◽  
Natural Gas Pipelines ◽  
Oil Platforms

High levels of availability and reliability are essential in many industries where production is subject to high costs due to downtime. Examples where gas turbines are used include the mechanical drive in natural gas pipelines and power generation on oil platforms, where it is common to use redundant gas turbines to mitigate the effects of service outage. In this paper, component-level maintenance of parallel multi-unit systems is considered, allowing production at a reduced level when some of the units are not operational. Units are themselves assumed to be composed out of components in a serial configuration; maintenance of one component implies shutdown of the unit. Parallel installations allow maintenance to be performed on one or a few gas turbines without taking down the entire installation. This allows maintenance to be optimized even further than in a serial system. However, the maintenance optimization process is made more complicated, since there now exist both positive and negative grouping effects. The positive grouping effects come from shared setup activities and costs, and the negative effects come from resource limitations, in this case the limited number of gas turbines which can be maintained at the same time. In the approach presented in this paper, each component has its individual preventive maintenance schedule, which is updated at inspections, changes in production and when indicated using remote condition monitoring. A minimal repair model for noncritical routine inspections and service tasks is assumed, which does not affect component state. In addition, previously developed procedures for estimating and measuring residual component lifetime for individual components during operation are used. The procedures are based on a Retirement For Cause (RFC) approach where components are not replaced until a potential failure has been detected. To maximize revenues for an operator, the available information is evaluated using software where scenario analysis and optimization is performed. To show the possible economic effects, gas turbine operation data is used together with maintenance and operator requirements as input for optimization of a production line consisting of a natural-gas compressor station having three SGT-600 gas turbines. Savings can be substantial compared to a traditional preventive maintenance plan.

Study on Information System with Condition-Based Maintenance Models for a Continuously Degrading System

2013 ◽  
Vol 703 ◽  
pp. 227-230 ◽  
Author(s):  
Ao Lin Huang ◽  
Qing Min Li ◽  
Tie Bing Li
Keyword(s):  
Information System ◽  
Preventive Maintenance ◽  
Process Models ◽  
Condition Based Maintenance ◽  
Optimal Solutions ◽  
Model And Simulation ◽  
Maintenance Time ◽  
Degrading System ◽  
Maintenance Model

This paper considers on-condition maintenance of a continuously degrading information system, in which the inter-maintenance time and the maintenance time depend on the condition of the system at which maintenance is carried out. The durations of preventive maintenance activities are supposed to be exponentially distributed. Assuming deterioration of the system follows a gamma process, models are established to maximize the system average availability when the effectiveness of the preventive maintenance activity becomes weaker and weaker. Optimal solutions on the condition of the system at which maintenance should be performed and the number of times of maintenance action to be carried out are obtained based on Monte-Carlo simulation. A case study is given to show the procedure of the maintenance model and simulation.

Energy efficiency for condition-based maintenance decision-making: Application to a manufacturing platform

2018 ◽  
Vol 232 (4) ◽  
pp. 379-388
Author(s):  
Phuc Do ◽  
Anh Hoang ◽  
Benoit Iung ◽  
Hai-Canh Vu
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Performance Indicator ◽  
Condition Based Maintenance ◽  
Key Performance Indicator ◽  
Proposed Model ◽  
New Energy ◽  
Energy Efficiency Indicator ◽  
Maintenance Decision ◽  
Maintenance Model

Condition-based maintenance has been developed and successfully applied in various industrial systems to preventively maintain the correct equipment at the right time with regard to its current health “condition” such as oil temperature, harmonics data, and vibration. The monitoring of these conventional indicators may however be costly. Moreover, energy efficiency addressed by sustainability requirements has been recently considered as an emerging key performance indicator to be controlled. Nevertheless, this emerging key performance indicator is not yet integrated in condition-based maintenance decision-making. To face these issues, the main objective of this article is to investigate the interests to use energy efficiency for condition-based maintenance decision-making. The first original contribution of this article is to propose a new energy efficiency–based condition-based maintenance model using energy efficiency indicator which is defined as the amount of energy consumption to produce one useful output unit. The proposed model leads to consider not only the maintenance cost but also energy and useful output performance in the condition-based maintenance optimization process. The second contribution concerns an investigation of the proposed energy efficiency–based condition-based maintenance model for the case study of the TELMA platform. The performance of the proposed model is verified by comparing to an extended traditional one. The obtained results allow to highlight the impacts of energy efficiency on existing condition-based maintenance strategies and to conclude on the interest of a new energy efficiency indicator–based condition-based maintenance practice in terms of both cost and efficiency.

scholarly journals Maintenance System of Universal Goss Printing Machine based on failure data using RCM and RCS method

2018 ◽  
Vol 2 (02) ◽  
pp. 57-62
Author(s):  
Judi Alhilman ◽  
Fransiskus Tatas Dwi Atmaji ◽  
Valinouski Aulia
Keyword(s):  
Preventive Maintenance ◽  
Spare Part ◽  
Spare Parts ◽  
Critical System ◽  
Maintenance Schedule ◽  
Maintenance System ◽  
Failure Data ◽  
Reliability Centered Maintenance ◽  
Engine Failure ◽  
Printing Machine

Over time a machine will get experience a decrease in reliability, causing the engine to be damaged at the time of operation, thus disrupting the production line. To maintain a machine remains reliable then a good maintenance system is required. In this research, we will use Reliability Centered Maintenance (RCM) and Reliability Centered Spare (RCS) analysis on the critical system of Goss Universal printing machine based on engine failure data. The result of RCM analysis obtained the optimal preventive maintenance schedule and the type of treatment, while based on the RCS analysis obtained spare part needs following the maintenance schedule. With the result of this analysis, is expected where the machine will keep good and will continue to operate without a sudden breakdown under the production schedule's need. Based on RCM analysis for each critical subsystem obtained interval preventive maintenance for transfer roller 127.60 hours, Ink fountain roller 24.45 hours, ink form roller 29.23 hours respectively, and the wash-up device is no scheduled maintenance. For spare parts inventory strategies the result using RCS method are: transfer roller104 units, ink fountain roller requires 32 units, ink form roller 36 units and are holding spare policy required, and a wash-up device no holding spare parts. Keywords— Failure data, Maintenance System, RCM, RCS

scholarly journals Analisis Penerapan Overall Equipment Effectiveness Pada Mesin Power Press Combination Forming 60T

2017 ◽  
Vol 1 (2) ◽  
pp. 99
Author(s):  
Adi Rusdi Widya
Keyword(s):  
Preventive Maintenance ◽  
Fault Tree Analysis ◽  
Production Performance ◽  
Analysis Method ◽  
Machine Failure ◽  
Reliability Centered Maintenance ◽  
Emergency Measure ◽  
Standard Value ◽  
Critical Components ◽  
Mean Time

Corrective action on the engine damage is a temporary emergency measure, so further action is required by conducting maintenance activities, prevention of damage (Preventive maintenance), and able to detect abnormal symptoms before the machine breakdown occurs. The sudden impact of machine damage resulted in disruption of planned production performance so that it is necessary to identify and analyze the factors that cause the machine damage. Establish maintenance method using Autonomous Maintenance, Preventive Maintenance and Reliability Centered Maintenance (RCM) concept to prevent machine failure from the beginning, through fault tree analysis (FTA) method, failure mode effect, and analysis (FMEA), mean time between failure (MTBF ) is an analytical activity for implementing RCM systems on machines and critical components, able to identify and detect symptoms of malfunction before the machine is damaged. The results of the research get better application of maintenance system so that identification of important components can be anticipated from the symptoms of damage. Overall, there is an increase in performance seen from the increase of Overall Equipment Effectiveness (OEE) value, still expected to continue to increase according to JIPM 85% standard value. In conclusion FMEA, FTA, MTBF analysis method can be used to build autonomous maintenance, preventive maintenance and reliability centered maintenance so as to facilitate the production and maintenance in determining the proper maintenance of the machine.

scholarly journals RAILWAY CONDITION-BASED MAINTENANCE MODEL WITH STOCHASTIC DETERIORATION

2014 ◽  
Vol 20 (5) ◽  
pp. 686-692 ◽  
Author(s):  
Cecília Vale ◽  
Isabel M. Ribeiro
Keyword(s):  
Standard Deviation ◽  
Stochastic Simulation ◽  
Preventive Maintenance ◽  
Real Data ◽  
Condition Based Maintenance ◽  
Nonlinear Program ◽  
Monte Carlo Techniques ◽  
Deterioration Rate ◽  
Maintenance Model ◽  
Over Time

The application of mathematical programming for scheduling preventive maintenance in railways is relatively new. This paper presents a stochastic mathematical model designed to optimize and to predict tamping operations in ballasted tracks as preventive condition-based maintenance. The model is formulated as a mixed 0–1 nonlinear program that considers real technical aspects as constraints: the reduction of the geometrical track quality over time is characterized by the deterioration rate of the standard deviation of the longitudinal level; the track layout; the dependency of the track recovery on its quality at the moment of the maintenance operation; the limits for preventive maintenance that depend on the maximum permissible train speed. In the model application, a railway stretch with 51.2 km of length is analysed for a time period of five years. The deterioration model is stochastic and represents the reduction of the standard deviation of the longitudinal level over time. The deterioration rate of the standard deviation of the longitudinal level is simulated by Monte Carlo techniques, considering the three parameters Dagum probabilistic distribution fitted with real data (Vale, Simões 2012). Two simulations are performed and compared: stochastic simulation in space; stochastic simulation in space and time. The proposed condition-based maintenance model is able to produce optimal schedules within appropriate computational times.

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