Hi Michael
This calculation if feasible for exponential distribution (random failures not a wear model)
As an example: if you have a machine run for 10 years
And have 5 failures, so you will say MTBF is 2 years
You are right mathematically, but it doesn't give any useful information or guidance if that 5 failure happened as follow:
1 in the first year
4 failures in the last 2 years
In this example you can't tell the right probability of failure if you just divide the total running years over the total number of failure
You will probably miss the next coming failure without a corrective plan
So you can firstly check is the shape parameter is almost 1 or not
And even if it's 1 (random failure) you can face an internal component in your asset with a mttf nearly equal to 11 years, which will come up soon
So my advice (according to you level of analysis and asset or plant criticality) you should apply crow amsaa analysis for repairable systems and LDA for non repairable items and then you can perform your RAM to predict or calculate system or plant or even asset availability
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Mustafa SalahEldin Eljilany
CRE, CMRB, CAMA, CEng IMeche
Maintenance and reliability section head
ANRPC
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Original Message:
Sent: 04-09-2025 07:05 AM
From: Michael Wise
Subject: Plant MTBF
Omar,
I am not really sure what that would calculate, but industry standard for MTBF is:
total machine run hours / number of failures
This KPI will help steer the team toward the equipment with the most problems.
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Michael Wise
Production Operations Manager
Aqua Membranes
Maryville TN
Original Message:
Sent: 04-08-2025 07:35 AM
From: Omar Etman
Subject: Plant MTBF
Hi,
I heard from collogue that they are calculating plant MTBF by dividing number of equipment by number of failures. I've never seen this approach before. There was a comment that this is an industry practice. Any information about such practice ?
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Omar Etman
Field Service Engineer
John Crane
Al Khobar
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