The two types of thresholds: general and environment specific.General thresholds are those that apply to most or all networks. They are rules of thumb that have been determined via experience to work in most environments. They are applied when there are no environment-specific thresholds to use. Environment-specific thresholds are determined for the environment of the current network project on which you are working. They are specific to that environment and typically are not applicable to other networks. These thresholds are useful in distinguishing between low and high performance for the network.
Reliability
Reliability is a statistical indicator of the frequency of failure of the network and its components and represents the unscheduled outages of service. A measure of reliability is in MTBCF, usually expressed in hours. A related measure is the MTBF, which considers all failures, regardless of their significance at the time of failure, and is a conservative approximation, useful in simple systems. MTBF can confuse the designer of a complex system. As systems become more complex and resource limitations restrict the degree of redundancy or the purchase of higher-reliability components, the use of MTBCF becomes more illuminating, although it does take more careful analysis, focusing on the system performance during specific mission scenarios. MTBF is computed as the inverse of the failure rate, which is estimated through testing.
Reliability, Availability and Maintainability (RAM) studies are typically associated with the defense and aerospace industries. However, a number of studies have been performed for refining, petrochemical, offshore, and power generation facilities.
Reliability
Reliability is a statistical indicator of the frequency of failure of the network and its components and represents the unscheduled outages of service. A measure of reliability is in MTBCF, usually expressed in hours. A related measure is the MTBF, which considers all failures, regardless of their significance at the time of failure, and is a conservative approximation, useful in simple systems. MTBF can confuse the designer of a complex system. As systems become more complex and resource limitations restrict the degree of redundancy or the purchase of higher-reliability components, the use of MTBCF becomes more illuminating, although it does take more careful analysis, focusing on the system performance during specific mission scenarios. MTBF is computed as the inverse of the failure rate, which is estimated through testing.
Reliability, Availability and Maintainability (RAM) studies are typically associated with the defense and aerospace industries. However, a number of studies have been performed for refining, petrochemical, offshore, and power generation facilities.
The application of relatively inexpensive but powerful RAM forecasting tools can provide a number of benefits to the owners and operators of oil refineries, gas plants, chemical plants, and other processing facilities.
Those benefits can include:
- Reducing maintenance and sparing costs while maintaining and/or increasing production levels.
- Optimizing capital investment for reducing the cost of production.
- A decrease in the duration of unplanned and planned outages.
- Alignment of maintenance resources based on the criticality of equipment to production revenue.
- Accurate forecasts of equipment life cycle costs that reflect equipment age, duty cycle, and maintenance effectiveness.
- Optimization of capital improvement options at the plant and enterprise levels when improvement budgets are constrained.
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