MADe (Software)
MADe (Maintenance Aware Design Environment) is a software package developed by PHM Technology. MADe is a model based failure simulation software package that uses principals in reliability engineering. MADe is used by design engineers and reliability engineers in industries including Aerospace and Defence, Automotive, Utilities, Manufacturing, Oil and Gas, Mining and Rail.
| Developer(s) | PHM Technology |
|---|---|
| Initial release | December 2006 |
| Stable release | 3.7.2
/ March 22, 2018 |
| Engine | |
| Operating system | Windows, macOS |
| Available in | English, Russian |
| Type | Computer-aided design |
| License | [[Proprietary License]] |
| Website | www |
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Overview[edit]
MADe is developed and marketed by the Australian company, PHM Technology. MADe is a model based engineering analysis solution for the design and sustainment of complex engineering systems. MADe combines the modelling and analysis capabilities required to identify and mitigate the technical risk in a design configuration at every stage of the product lifecycle. MADe reduces risk by using its interdependent analysis capabilities that consider the technical, operational and economic requirements of the operator and/or maintainer of the system.
History[edit]
MADe was conceived by Dr Jacek Stecki as a tool to design and validate diagnostic capability that would support implementation of a Condition Based Maintenance (CBM) for complex systems.[1] Dr Stecki has worked in the field of CBM since 1979 (at Oklahoma State University) and includes the establishment and management of the first CBM research centre in Australia: the Centre for Machine Condition Monitoring at Monash University, Australia between 1980 – 1996. MADe suite consists of MADe-PHM, MADe-RAM, MADe-Modeling and MADe-Failure Analysis.
Modules[edit]
The following are descriptions of the core modules of the MADe suite. Each module will differ according to the version of the software.
- MADe-Modeling is used for creating and establishing MADe models, including a Functional Block Diagram, Reliability Block Diagram and Mission Profile Definition.
- MADe-System Safety and Risk Management (SSRM) is used for analyses and outputs relating to safety and risk management, including criticality, failure simulation, FMECA and FTA.
- MADe-RAM (Reliability, Availability and Maintainability) is used for analyses and outputs relating to reliability, availability and maintenance, including RBD, Reliability Allocation and RCM.
- MADe-PHM (Prognostics and Health Monitoring) is used for analyses and outputs relating to detection, diagnosis and prognostics.
Outputs[edit]
The following list mentions the analyses capabilities of the MADe software:
- Failure simulation
- Mission Profile Definiton
- RCM (Reliability Centered Maintenance)
- B-RCM (Back fit Reliability Centered Maintenance)
- FTA (Fault Tree Analysis)
- RBD (Reliability Block Diagrams)
- Reliability and Criticality Editor
- Reliability Allocation
- PHM and sensor set analysis
- FMEA Report
- FMECA Report
- Automated Sensor Set generation
- Sensor Optimisation
- Diagnostic Rules
- Diagnostic Assessment
- MCE (Maintenance Cost Estimates)
- RCA (Root Cause Analysis)
Note that all outputs can be exported in the following formats:
Users and Notables Use Cases[edit]
Integrations[edit]
- Teamcenter Integration. MADe has an integration with Teamcenter (TC) that enables the PLM data and information to be used to generate analysis models and populate relevant parameters required to conduct safety, reliability and supportability analyses. The MADe - Teamcenter integration automatically identifies and displays matching items and hierarchies during the import /export process, based on the current design state. Automated updates and changes to the system model in MADe then enable configuration management of the analysis required to optimise safety, reliability and supportability capabilities at each stage of the product lifecycle.
See Also[edit]
References[edit]
- ↑ Stecki, Chris (1 June 2006). "PHM Technology - People". PHM Technology. Retrieved 5 July 2018.
- ↑ Meekattukulam, Francis (17 May 2018). "MADe for NASA". PHM Technology. Retrieved 4 July 2018.
- ↑ Stecki, Chris (27 September 2016). "BAE Systems chooses MADe for Land 400". PHM Technology. Retrieved 4 July 2018.
- ↑ Stecki, Chris (13 October 2016). "Austal chooses MADe for ILS analysis". PHM Technology. Retrieved 4 July 2018.
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