Reliability Block Diagrams: An Overview
What is a Reliability Block Diagram (RDB)
An RBD is a graphical diagram to qualitatively and quantitatively determine the overall reliability of a system. This helps identify the overall success or failure rate of a system in deployment. The RBD shows the essential components that contribute the success of the system.
How to create one?
Let's build an example!
Consider a simple lightbulb circuit (Fig 1). There is a battery powering a lightbulb through a switch and a current limiting resistor.

A failure in any of the component will lead to the light bulb not functioning
Battery fails - > no power to the lightbulb
Switch fails -> circuit remains open
Resistor open - > circuit remains open
Light bulb filament broken -> light off
With the assumption that the purpose of the circuit is to make the lightbulb glow, the RBD will look like the diagram below (Fig 2).

All the components are in series. This means that if any of the components fail, the light bulb will stop being operational.
Now, let's quantify the results. Let's assume that we know the failure rate of components. We can now determine which of the components are critical. In order to do so, we need the MTTF (Mean Time to Failure) of components.
Fig. 3 shows the failure rates (λ) and MTTF of each of the components of the lightbulb circuit. The failure rates can be estimated based on standards such as IEC 61709, Siemens SN29500, NIL-HDBK-217F, or similar standards. They can also be determined based on historical failure data. Based on the failure rates of each component, the criticality of each component can be determined. Fig. 4 shows the criticality of each component. Since the light bulb has the highest failure rate (100 FIT) and smallest MTTF (1.1k years), it is the most critical component.


The overall system reliability of the system is expressed by a reliability function
The mathematics behind the reliability function is explained in this blog.
Fig.5 shows the overall reliability of the system as a function of time.

Based on the graph and the data to the right of the graph, the following conclusions can be made
From the graph,
Reliability at the beginning is 1 => 100% of components are functioning
The reliability is exponentially decreasing as time increases
The MTTF is 815 years. i.e. MTTF = 815 years means the total expected operating time before one failure is 815 system-years.
Also, note that MTTF is the "mean" time to failure and not the "median" time
From the data on the right of the graph
After 1 year, 99.88% of the products will still be operational
If the warranty period is 2 years, 99.76% of the products will be still operational at the end of the warranty period
At MTTF (815 years), 36.79% of the components are still operational
B10 life (when 10% of the components fail) can be estimated from the graph = 85.9 years
Similarly, B50 can be estimated from the graph
The warranty information based on reliability can also be determined, as shown in Fig. 6.
Assuming the product is continuously working for 24 hrs./day, and the warranty is 2 years.
We know that reliability at the end of 2 years is 99.76% (see Fig 5).
If 10,000 of these products are sold, we can expect ~25 (24.5) to be returned before the warranty period, due to failures.

Summary
Reliability Block Diagrams give engineers a simple yet powerful lens for seeing exactly how a system's architecture, whether series, parallel, or a mix of both, shapes its overall reliability. Whether designing for redundancy or identifying a single point of failure, RBD is a powerful toolbox for engineers to design reliable systems.



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