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An introduction to predictive maintenance - part 7

chính kịp thời chương trình bảo trì phải được phát triển với mục tiêu rõ ràng và mục tiêu cho phép sử dụng tối đa các công nghệ. Chương trình phải có khả năng để vượt qua ranh giới tổ chức và không giới hạn chức năng bảo trì. Mỗi chức năng trong nhà máy ảnh hưởng đến độ tin cậy và hiệu suất thiết bị, và các chương trình bảo trì tiên đoán phải giải quyết tất cả các ảnh hưởng này | 268 An Introduction to Predictive Maintenance tive maintenance program must be developed with clear goals and objectives that permit maximum utilization of the technologies. The program must be able to cross organizational boundaries and not be limited to the maintenance function. Every function within the plant affects equipment reliability and performance and the predictive maintenance program must address all of these influences. Vibration monitoring and analysis is the most common of the predictive maintenance technologies. It is also the most underutilized of these tools. Most vibration-based predictive maintenance programs use less than 1 percent of the power this technology provides. The primary deficiencies of traditional predictive maintenance are Technology limitations Limitation to maintenance issues Influence of process variables Training limitations Interpreting operating dynamics 13.1.1 Technology Limitations Most predictive maintenance programs are severely restricted to a small population of plant equipment and systems. For example vibration-based programs are generally restricted to simple rotating machinery such as fans pumps or compressors. Thermography is typically restricted to electrical switchgear and related electrical equipment. These restrictions are thought to be physical limitations of the predictive technologies. In truth they are not. Predictive instrumentation has the ability to effectively acquire accurate data from almost any manufacturing or process system. Restrictions such as low speed are purely artificial. Not only can many of the vibration meters record data at low speeds but they can also be used to acquire most process variables such as temperature pressure or flow. Because most have the ability to convert any proportional electrical signal into user-selected engineering units they are in fact multimeters that can be used as part of a comprehensive process performance analysis program. 13.1.2 Limitation to Maintenance Issues