REG NASA-LLIS-0849-2000 Lessons Learned Predictive Maintenance Program.pdf
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1、Best Practices Entry: Best Practice Info:a71 Committee Approval Date: 2000-04-24a71 Center Point of Contact: KSCa71 Submitted by: Wilson HarkinsSubject: Predictive Maintenance Program Practice: Predictive maintenance is a technique that allows for a systematic method of monitoring and trending of eq
2、uipment condition. This activity takes place while equipment is on-line and provides early warning of equipment operation approaching out of limit conditions.Programs that Certify Usage: This practice has been used by the Kennedy Space Center Shuttle Processing Contractor and Base Operations Contrac
3、tor Predictive Maintenance Programs for Ground Support and Facilities Equipment, U. S. Industry (Utility, Manufacturing, Processing, etc.).Center to Contact for Information: KSCImplementation Method: This Lesson Learned is based on Maintainability Technique number OPS-13 from NASA Technical Memorand
4、um 4628, Recommended Techniques for Effective Maintainability. Predictive maintenance allows for scheduling of maintenance when it is required and when it will have the least effect on scheduled activities requiring support of the equipment in question. Unexpected equipment breakdowns and scheduled
5、maintenance downtime for periodic disassembly and inspection to determine equipment condition are virtually eliminated. Additional discussion of the benefits of predictive maintenance is provided in the following pages.Predictive maintenance is a technique which checks the “health“ of an item while
6、it is operating using one or more sophisticated tools. The capabilities for predictive maintenance exist because of Provided by IHSNot for ResaleNo reproduction or networking permitted without license from IHS-,-,-the availability of desktop computers, and the increased sophistication of equipment m
7、onitoring instruments. Too much or too little maintenance is avoided because the equipment is monitored on a regular basis providing trend data that can be used to project probable machine alarm dates. According to the Electric Power Research Institute (EPRI), the annual maintenance cost of such a p
8、rogram is reduced by 50% or more to between $7 and $9 per horsepower.Predictive maintenance has received a great deal of attention in the past five years or more. U. S. industry spent $200 billion in 1985 alone, to maintain plants and equipment. Studies by the EPRI show that the annual maintenance c
9、ost of repairing machinery when it breaks down (corrective maintenance) is $17 to $18 per horsepower. Contrasted to that is preventive maintenance, which uses statistics to determine the probable health of equipment. However, in the real world, machines do not follow averages. The result is usually
10、“over maintenance“ or “under maintenance.“ The EPRI Studies show that the annual maintenance cost per horsepower using preventive maintenance is between $11 and $13. As was stated earlier, the EPRI study shows that predictive maintenance reduces manual maintenance costs to between $7 and $9 per hors
11、epower.Benefits from implementing a Predictive Maintenance Program include:a71 Condition of equipment under a predictive maintenance program is known, permitting repairs to be planned and carried out without interrupting scheduled support activities.a71 Reduced maintenance costs are realized through
12、 the use of predictive maintenance. Maintenance needs can be anticipated and planned. Maintenance activities are more efficiently planned from a standpoint of manpower, parts, and tools. Catastrophic failures, which impose secondary, expensive damage, are also avoided.a71 Improved equipment performa
13、nce is achieved through the use of predictive maintenance. Predictive maintenance measures equipment condition so that corrections can be made before performance is compromised.a71 Predictive maintenance provides several potential areas for energy savings. Elimination of high energy vibration source
14、s such as misalignment and imbalance will reduce machine power consumption. Motor phase imbalance, which increases power consumption can be corrected resulting in savings in power and increased motor life.Technical DescriptionPredictive (or condition-based) maintenance is an outgrowth of a preventiv
15、e maintenance program. Todays state of the art technologies, readily available user friendly desk top computers, and increased sophistication of equipment monitoring instruments, now make it possible to have a reliable and cost effective predictive maintenance program.The first step in developing an
16、 effective predictive maintenance program is to determine the cost of the maintenance program such as cost for maintenance personnel, repairs, spares and cost associated with losses incurred due to equipment being down. The next step is to identify the number of man-Provided by IHSNot for ResaleNo r
17、eproduction or networking permitted without license from IHS-,-,-hours required to monitor the equipment. Simple machinery (motors, pumps, or fans) will require fewer points to accurately detect developing problems than more complex equipment, such as turbines or generators. By counting the pieces o
18、f equipment and the number of measurement points, you can estimate the level of manpower required.More critical equipment may require more frequent monitoring, which will increase manpower requirements. The monitoring frequency is a function of the critical nature of the equipment; so the next step
19、is to set up an equipment classification system. For example:a71 Class 1 - essential equipment - includes equipment that must be on-line to continue all or a major part of a process. Loss of this equipment would have a major impact on safety, productivity and availability. Also included in this grou
20、p would be equipment that has a high repair cost, or a long lead time for ordering repair parts.a71 Class 2 - critical equipment - includes equipment that would limit a major part of a process, and equipment with high initial replacement costs, or chronic maintenance problems.a71 Class 3- serious eq
21、uipment - includes equipment that is not critical to process, but require monitoring to ensure acceptable process performance.a71 Class 4 - other equipment - includes high speed or high load machinery that is prone to premature failure because of its severe operating mode, but is not considered crit
22、ical to the process.Once equipment has been properly grouped, the data acquisition schedules and routes can be established; and projected manpower levels determined. If sufficient staff is not available, the potential savings from the program must justify additional personnel.Besides salaries, costs
23、 should include the cost of diagnostic and analytical equipment, office space, and any overhead costs that will be charged to the group. Costs should also include training and additional skill development. Training costs can range from a few hundred to a few thousand dollars in the first year; depen
24、ding on the level of experience and the size of the staff.A typical predictive maintenance system contains four main components: a microprocessor based data collector, a host computer, software and transducers. Each is an important element and it is important that they function well as a total syste
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