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Predictive maintenance reliability

COMPUTER-BASED MAINTENANCE PREDICTIVE MAINTENANCE RELIABILITY-CENTERED MAINTENANCE (RCM) INTEGRATED SYSTEMS CONTRACT MAINTENANCE STAND-ALONE SYSTEMS... [Pg.20]

Maintenance of process installation is still a necessity to realise high process reliability. Infrared thermography is becoming more and more an useful tool for predictive maintenance in the process and electrical industry. [Pg.399]

Pontecorvo, A. B. (1965). A Method of Predicting Human Reliability. Annals of Reliability and Maintenance 4,337-342. [Pg.373]

The use of vibration analysis is not restricted to predictive maintenance. This technique is useful for diagnostic applications as well. Vibration monitoring and analysis are the primary diagnostic tools for most mechanical systems that are used to manufacture products. When used properly, vibration data provide the means to maintain optimum operating conditions and efficiency of critical plant systems. Vibration analysis can be used to evaluate fluid flow through pipes or vessels, to detect leaks, and to perform a variety of non-destmctive testing functions that improve the reliability and performance of critical plant systems. [Pg.664]

For routine monitoring of machine vibration, however, this approach is not cost effective. The time required to manually isolate each of the frequency components and transient events contained in the waveform is prohibitive. However, time-domain data has a definite use in a total plant predictive maintenance or reliability improvement program. [Pg.685]

In a predictive and reliability maintenance program, it is extremely important to keep good historical records of key parameters. How measurement point locations and orientation to the machine s shaft were selected should be kept as part of the database. It is important that every measurement taken throughout the life of the maintenance program be acquired at exactly the same point and orientation. In addition, the compressive load, or downward force, applied to the transducer should be the same for each measurement. [Pg.687]

An analysis is only as good as the data therefore, the equipment used to collect the data is critical and determines the success or failure of a predictive maintenance or reliability improvement program. The accuracy as well as proper use and mounting determines whether valid data are collected. [Pg.687]

A survey of 500 plants that have implemented predictive maintenance methods indicates substantial improvements in reliability, availability and operating costs. The successful programs included in the survey include a cross-section of industries and provide an overview of the types of improvements that can be expected. Based on the survey results, major improvements can be achieved in maintenance costs, unscheduled machine failures, repair downtime, spare parts inventory, and both direct and in-direct overtime premiums. In addition, the survey indicated a dramatic improvement in machine life, production, operator safety, product quality and overall profitability. [Pg.796]

Inclusion of thermography into a predictive maintenance program will enable you to monitor the thermal efficiency of critical process systems that rely on heat transfer or retention electrical equipment and other parameters that will improve both the reliability and efficiency of plant systems. Infrared techniques can be used to detect problems in a variety of plant systems and equipment, including electrical switchgear, gearboxes, electrical substations, transmissions, circuit breaker panels, motors, building envelopes, bearings, steam lines, and process systems that rely on heat retention or transfer. [Pg.800]

The purpose of predictive maintenance is to minimize unscheduled equipment failures, maintenance costs and lost production. It is also intended to improve the production efficiency and product quality in the plant. This is accomplished by regular monitoring of the mechanical condition, machine and process efficiencies and other parameters that define the operating condition of the plant. Using the data acquired from critical plant equipment, incipient problems are identified and corrective actions taken to improve the reliability, availability and productivity of the plant. [Pg.809]

Preventive/predictive maintenance Continuous reliability improvement Reliability-centered maintenance Maintenance parts/materials control Maintenance storeroom operations Work order and work control Maintenance planning/scheduling Maintenance budget and cost control... [Pg.1593]

Physical asset Use of rehabihty improvement technologies reliability-centered meiintenance, preventive/predictive maintenance, andknowledge-based/expert systems for meiintenemce of the physical asset. Asset faciUtation to gain maximum capacity at the lowest possible life-cycle cost. [Pg.1611]

If predictive maintenance methods are superior to preventive maintenance, why use preventive maintenance at aU The answer is simple. The nature of your operation will determine which methods are most effective. In actual practice, some combination of preventive and predictive maintenance is required to ensure maximum reliability. The degree of application of each will vary with the type of equipment rmd the percent of the time these machines are operating. [Pg.1612]

Some equipment will be satisfactorily monitored using only predictive maintenance. Other equipment win require preventive maintenance. Ultimately, some combination of methods will provide the required coverage for your operation to assure reliable performance. In most operations, it is wise to apply a combination of methods to ensure that equipment defects do not go undetected. The following provides a brief summary of some of the leading predictive maintenance technologies. [Pg.1613]

Grail, A., L. Dieulle, C. Berenguer, and M. Roussignol 2002. Continuous-Time Predictive-Maintenance Scheduling for a Deteriorating System. IEEE Transactions on Reliability, 51(2), 141-150. [Pg.539]

Reliability-centered maintenance (RCM) is a common apphcation of time-based scheduled preventive maintenance procedures, and of predictive maintenance technologies apphed to a specific application that allows for equipment life optimization. [Pg.18]

The purpose of reliability-centered maintenance is to reduce defects, downtime, and accidents to as close to zero as possible to maximize production capacity and product quality and to keep maintenance cost per unit to a minimum. But, the main purpose of RCM is to create a systematic approach to maintenance that introduces controlled preventive maintenance while properly applying predictive maintenance technologies. [Pg.23]

It must also be noted that the type of maintenance program adopted in the facihty may have a significant impact on the frequency of many tasks. For example, a program that includes predictive maintenance information may reduce the frequency of tasks requiring hardware checks for wear or accuracy. Likewise, a good reliability-centered maintenance (RCM) program (see Chap. 2.2) will reduce the frequency of most tasks while increasing the frequency of a lesser number of tasks performed on mission-critical equipment. [Pg.500]

To maintain coupling reliability, mechanical-flexing couplings require periodic inspections on a time- or condition-based frequency established by the history of the equipment s coupling life or a schedule established by the predictive maintenance engineer. Items to be included in an inspection are listed below. If any of these items or conditions is discovered, the coupling should be evaluated to determine its remaining operational life or repaired/replaced. [Pg.234]

Protective device schedule compliance Quantified reliability target (total) Predictive maintenance compliance Quantified availability targets (total) ... [Pg.490]

Maillart L.M. Pollock S.M. 2002. Cost-optimal condition-monitoring for predictive maintenance of 2-phase systems, IEEE Transactions on Reliability 51(3) 322-330. [Pg.916]

Park K.S. 1993. Condition-based predictive maintenance by multiple logistic function, IEEE Transactions on Reliability 42(4) 556-560. [Pg.916]

Moura, M.C. et al.. Predictive maintenance policy for oil well equipment in the case scaling through support vector machines, Proceedings of the European Safety and Reliability Conference Advances in Safety, Reliability, and Risk Management, 2012, pp. 503-507. [Pg.198]

The shift from reactive corrective maintenance toward proactive predictive maintenance represents a significant move toward enhanced reliability. However, efforts designed to identify problems before failure are not sufficient to optimize reliability levels. Ultimately, for enhanced reliability, the root causes of maintenance problems have to be determined, in order to eliminate them. The high-est-priority use of root cause analysis (RCA) should be for chronic, recurring problems (often in the form of small events), since these usually consume the majority of maintenance resources. Isolated problems can also be analyzed by RCA. [Pg.394]

To meet the above challenges, two ftmdamental initiatives are under way, namely, shifts to reliability-centered maintenance and predictive maintenance. Broadly speaking, prior to the maintenance revolution, the utilities maintenance approach had essentially been one of preventive maintenance on all components after fixed time intervals, irrespective of the components criticality and actual condition. The shortcomings of this approach included the following (1) overly conservative maintenance requirements, (2) limited gains in reliability from investments in maintenance, (3) inadequate preventive maintenance on key components, and (4) added risk of worker exposure to radiation through unnecessary maintenance. Anticipated benefits of the revised approach are related not only to reduced maintenance costs but also to improved overall operational reliability. [Pg.395]

A preventive and/or predictive maintenance programme that prevents or economically constrains corrective maintenance, and is continually adjusted to maximize the reliability of the operable equipment. [Pg.16]

Full scale life-testing of control rod drive mechanism is necessary to establish reliability. Microprocessor based data acquisition systems are being employed during testing to facilitate condition monitoring and to predict maintenance requirements. [Pg.61]

Frequently a piece of equipment is used in different processes during its lifecycle. This could result in process conditions that exceed the safe operating limits of the equipment. Equipment inspection may provide a poor prediction of the equipment s useful life and reliability, due to the change of material handled or change in process chemistry over the life of equipment. Batch operations are also characterized by frequent start-up and shut-down of equipment. This can lead to accelerated equipment aging and may lead to equipment failure. This chapter presents issues and concerns related to the safe design, operation, and maintenance of various pieces of equipment in batch reaction systems, and provides potential solutions. [Pg.6]

Too little maintenance results in unexpected failures and consequential major losses of production and/or customers (Figure 7-1). This impractical approach is termed reactive strategy and should be avoided on all important machinery. Optimum maintenance strategy balances reasonable costs with maximum possible availability and reliability. The two main maintenance strategies employed by companies today are labelled predictive strategy and preventive strategy. These are part of a balanced approach as shown in Figure 7-2. [Pg.402]

Statistical Methods for Nonelectronic Reliability, Reliability Specifications, Special Application Methods for Reliability Prediction Part Failure Characteristics, and Reliability Demonstration Tests. Data is located in section 5.0 on Part Failure Characteristics. This section describes the results of the statistical analyses of failure data from more than 250 distinct nonelectronic parts collected from recent commercial and military projects. This data was collected in-house (from operations and maintenance reports) and from industry wide sources. Tables, alphabetized by part class/ part type, are presented for easy reference to part failure rates assuminng that the part lives are exponentially distributed (as in previous editions of this notebook, the majority of data available included total operating time, and total number of failures only). For parts for which the actual life times for each part under test were included in the database, further tables are presented which describe the results of testing the fit of the exponential and Weibull distributions. [Pg.87]

The maintenance of a connection to experiment is essential in that reliability is only measurable against experimental results. However, in practice, the computational cost of the most reliable conventional quantum chemical methods has tended to preclude their application to the large, low-symmetry molecules which form liquid crystals. There have however, been several recent steps forward in this area and here we will review some of these newest developments in predictive computer simulation of intramolecular properties of liquid crystals. In the next section we begin with a brief overview of important molecular properties which are the focus of much current computational effort and highlight some specific examples of cases where the molecular electronic origin of macroscopic properties is well established. [Pg.6]


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