We know there are many manufacturers out there today that still struggle to meet the harder regulations (EN 1175:2020 / ISO 13849) to #Functionalsafety and we often help our customers to make their applications and machines safer by offering data and products that meet these requirements.
The objective of functional safety is to get away from unacceptable risk of physical injury or of damage to the health of people directly or indirectly (through damage to property or environment) and by proper implementation of one or more automatic protection functions (often called safety functions). A safety system (often called a safety-related system) consists of one or more safety functions.
MTBF, or Mean Time Between Failures, is a key reliability metric that measures the average time between system or component failures. This provides valuable information on the reliability and performance of your equipment. MTBF takes into account the total operating time and the number of failures that occur during that time.
In contrast, B10 and B10d values are metrics used to measure the reliability of a system or component in terms of the probability of failure.
B10 is the point at which 10% of the components in a population are expected to fail, while B10d is the point at which 10% of the components in a population are expected to become dangerous, causing harm to either people or the environment.
B10 and B10d values are typically used in conjunction with MTBF to provide a comprehensive understanding of the reliability of a system or component. MTBF provides important information on the overall reliability of the equipment, while B10 and B10d values offer insight into the probability of failure and the impact of that failure.
By analysing and understanding these metrics, you can make informed decisions about maintenance and reliability to ensure maximum uptime and safety for your equipment. At the end of the day, investing in reliability measures is crucial to ensuring the success and longevity.
Not sure what all those acronyms mean when dealing with reliability and maintenance analytics?
MTTF, or Mean Time To Failure, measures the average time a system or component operates before it fails. This is important for predicting when maintenance should be performed to avoid downtime.
MTTD, or Mean Time To Detect, measures how long it takes to detect a failure once it has occurred. This is crucial for quickly identifying issues and minimizing downtime.
MTTR, or Mean Time To Repair, measures the average time it takes to repair a failed system or component. This is important for minimizing downtime and ensuring that your equipment is up and running as quickly as possible.
MTBF, or Mean Time Between Failures, measures the average time between system or component failures. This is useful for identifying trends and determining the overall reliability of your equipment.
By understanding these acronyms and their corresponding metrics, you can make informed decisions about maintenance and reliability to ensure your equipment stays up and running efficiently.
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