ALD/SoHaR  MTBF Calculator is a free software tool for Reliability Prediction, supporting more than 20 reliability prediction standards.
The concept of our reliability prediction software tool is very simple: you enter electronic or mechanical component data and receive predicted MTBF (Mean Time Between Failures) and Failure Rate:

 

MTBF Calculator supports 26 most known and accepted reliability prediction standards starting from the famous MIL-HDBK-217 and up to the new FIDES.

Launch MTBF Calculator
Choose "MTBF Calculator" program from "A.L.D. Engineering" group in Start menu.

Perform reliability prediction (MTBF calculation)
1. Choose Family (Electronic / Mechanical) and Item Code.
2. Select reliability prediction method.
3. Select environment (ground, marine, airborne etc.) and ambient temperature of your part.
4. Press "Calculate" button. Component reliability data input screen will appear:

This dialog is specific for each part type and prediction method (because different reliability prediction methods use different parameters in their calculation model).
Enter relevant parameters. "---" value in different fields signals that default value is used. All fields have their predefined default values which are used if you do not specify different values. To view default value settings for all fields, press "Review defaults" button in the button bar below:

Then press the same button again to return to the editing mode.
5. Press Ok. "Get MTBF and FR" box will show the calculated values.

Using Reliability Data Libraries
MTBF calculator requires you to enter component parameters (e.g. type, technology, package etc.) in order to perform reliability prediction. Generally you should obtain these parameters from manufacturer's data sheets. However our tool contains active electronic components reliability data library provided by ALD Reliability Division containing more than 40,000 elements. To try finding your part in our Components library you should first choose required item code, prediction method and press "Calculate" button. Component data screen will appear.

Then there are different choices available:
1. Exact search by Generic Name (short part number):
a. Enter component name in the "Generic Name" field:

b. Press "Get from library" button in the lower part of the screen:

c. If the part is found in our library, its data will be shown in the dialog fields.

2. Search by the beginning of the Generic Name:
a. Enter the beginning of the component name in the "Generic Name" field:

b. Press "Location sensitive search" button in the lower part of the screen:

c. Library lookup dialog will appear:

d. Choose required part in the lookup and press "Ok".
3. Search by the middle of the Generic Name:
a. Enter an known segment of the component name in the "Generic Name" field:

b. Press "Location insensitive search" button in the lower part of the screen:

c. Library lookup dialog will appear:

d. Choose required part in the lookup and press "Ok.

Using Part Name Automatic Recognition
MTBF Calculator contains also algorithms of part name recognition for passive components. Automatic Recognition dramaticaly enlarges the component library. The only difference is that component data is not stored in the separate library file, but is defined by Part Name decomposition and analysis according to manufacturer's algorithms. A lot of capacitors and resistors of the following manufacturers are supported:
AVX, Bourns, Cal-chip, DALE, Hitano, Garrett, IRC, Johanson, Kemet, KOA, Kyocera, Mallory, Meritek, Murata, MSI, NIC, Nichicon, Novacap, Samsung, Siemens, Syfer, OhmCraft, Paccom, Philips, Ralec, ROEDERST, TDK, Taiyo, Yuden, Vishay, Vitramon, Yageo.

To use the Automatic Recognition feature:
1. On the component reliability data screen, enter the component name into the "Part Name" field:

2. Press "Get from library" button in the lower part of the screen. If the part is recognized, its data will appear on the screen:


The MTBF calculator is freeware and is provided as-is, without technical support. However we are committed to continuously improve it and therefore appreciate your comments and suggestions - please send suggestions to [email protected] This e-mail address is being protected from spam bots, you need JavaScript enabled to view it .