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Reliability

The document discusses reliability and maintenance engineering, defining reliability as the probability of a system performing its intended function over time. It outlines key metrics such as failure rate, mean time before failure (MTBF), maintainability, and availability, along with types of failures including initial, wear-out, and random failures. Additionally, it highlights causes of failures such as poor design and human error.
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0% found this document useful (0 votes)
21 views12 pages

Reliability

The document discusses reliability and maintenance engineering, defining reliability as the probability of a system performing its intended function over time. It outlines key metrics such as failure rate, mean time before failure (MTBF), maintainability, and availability, along with types of failures including initial, wear-out, and random failures. Additionally, it highlights causes of failures such as poor design and human error.
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Reliability & Maintenance

Engineering
Reliability
• Reliability: The reliability of the system (a
component, a complex system, a computer program
or a human being) is defined as the probability that
the unit performs its intended function adequately
for a given period of time under the stated operating
condition and environment.

• Measures for Reliability:


– Probability of survival
– Mean time to failure
– Mean down time
– Availability
– Frequency of failure.
Metrics of Reliability:
• Failure rate(λ): It is the number of times the
system fails in a particular interval of time.
• MTBF: The mean time taken before the system’s
failure is known as Mean Time Before Failure
(MTBF), where
MTBF=1/λ

Reliability of the system R(t)= e(-λt)=et/MTBF


Introduction (Cont.)
Maintainability:
• Maintainability is the probability that a failed
equipment is restored to operable condition in a
specified time (down time) when the maintenance
is performed under stated condition.
• Repair Rate (µ): It is the rate at which the system
is repaired to its operating condition.
• MTTR: It is the average time taken by system to
repair to its operating state.
MTTR=1/µ
Introduction (Cont.)
Availability:
• Availability is defined as the probability that
the unit is performing its intended function at a
particular given time when used under an
stated operating condition.
• It is proportion of time during which during
which an equipment is available for use.
𝑈𝑝−𝑡𝑖𝑚𝑒 µ
𝐴𝑣𝑎𝑖𝑙𝑎𝑏𝑖𝑙𝑡𝑦 = =
𝑈𝑝−𝑡𝑖𝑚𝑒+𝐷𝑜𝑤𝑛 𝑇𝑖𝑚𝑒 µ+𝜆
Failure & Failure Mode
A failure is the partial or total loss or change in the
properties of a device in such a way that its
functioning is seriously impeded or completely
stopped.

Failures can be grouped in the following categories:


• Initial Failure or Infant Mortality.
• Wear-out Failure
• Random or catastrophic failure.
Types of Failure
• Initial Failure or Infant Mortality
– These defects are due to manufacturing defects,
such as weak parts, poor insulation, bad assembly,
poor fits.
– Large number of failure likely to occur during this
period.
– Also known as debugging or burn –in period.
– In this period, failure rate decreases with time.
Types of Failure
• Wear-out failure
– These failures occur due to deterioration of the
machine parts.
– Gradual change in the parameter become beyond
the admissible limit.
– The changes are irreversible in nature.
– In this period, failure rate increases
Types of Failure
• Random or catastrophic failure
– These failures occur due to the sharp change in the
parameters determining the performance of the
system.
– These may occur due to change in environmental
condition.
– Also known as the random failures or catastrophic
failure, as these failures are difficult to detect.
– In this period, failure rate almost remain constant.
Bathtub Curve
Causes of Failures
• Poor Design
• Wrong Manufacturing Techniques
• Lack of knowledge and expertise
• Complexity of equipment
• Poor maintenance policy
• Organizational rigidity
• Human error

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