RELIASOFT LAMDA PREDICT

Reliability life prediction analysis based on the major published standards

Efficient reliability life prediction, allocation and derating analysis

Reliasoft Lambda Predict offers a full set of tools for standards-based reliability prediction, including easy-to-use component library functionality, a reliability allocation utility, derating analysis and the ability to transfer and manage your data via flexible import/export or copy/paste.

  • Provides exclusive access to PartLibraries.org website portal
  • Supports MIL-HDBK-217F, Bellcore/Telcordia, FIDES, NSWC Mechanical and Siemens SN 29500standards
  • Easy to perform Derating Analysis for your system
  • Includes Reliability Allocation with five allocation models
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ReliaSoft Lambda Predict

ReliaSoft Lambda Predict facilitates reliability life prediction analysis based on the major published standards, including MIL-HDBK-217F (MIL-217), Bellcore/Telcordia, FIDES, NSWC Mechanical and Siemens SN 29500

Why use ReliaSoft Lambda Predict?

  • Evaluate design feasibility
    Obtain an initial indication of whether a design will be able to meet reliability objectives and identify potential problem areas early in development.
  • Identify potential reliability areas of concern
    Lambda Predict enable you to perform an assessment of likely failure rate characteristics. By predicting failure rates, you can make design changes as needed for areas of weakness.
  • Compare designs to make the best decisions
    With Lambda Predict you have an ability to asses and compare design alternatives and/or trade-off system design factors.
  • Evaluate design feasibility
    Obtain an initial indication of whether a design will be able to meet reliability objectives and identify potential problem areas early in development.
  • Identify potential reliability areas of concern
    Lambda Predict enable you to perform an assessment of likely failure rate characteristics. By predicting failure rates, you can make design changes as needed for areas of weakness.
  • Compare designs to make the best decisions
    With Lambda Predict you have an ability to asses and compare design alternatives and/or trade-off system design factors.

Dedicated component libraries for standards based reliability prediction and other analyses

PartLibraries.org is a website portal for the collection and dissemination of component data for use in standards based reliability predictions and other reliability analyses. The repository contains data from published handbooks and is available exclusively to Lambda Predict users. It provides several flexible ways to find and import the data you need for your analyses.

For an existing system configuration or when you choose to import from an external Bill of Materials (BOM) file, the software can compare each part number against the data in PartLibraries.org. If there is a match, Lambda Predict will automatically import the reliability prediction parameters and/or failure rate.

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ReliaSoft Part Libraries

Capabilities

  • Reliability Centered Maintenance (RCM) Analysis
    Comprehensive tools for all aspects of RCM for asset management
  • RCM Standards
    Make it easy to configure your analysis workspace to fit the major RCM and FMEA reporting standards
  • Maintenance Strategies
    Assess a range of strategies coherently and efficiently
  • Failure Modes and Reliability Analysis (FMRA)
    Integrate statistical reliability analysis calculations into your FMEA and RCM activities
  • Optimum Replacement Interval
    Automatically calculate the optimum replacement interval that will minimize corrective and preventive maintenance costs
  • FMEAs and Related Analyses
    Take advantage of a complete set of features for FMEA and related analyses
  • Queries, Reports, Charts and Diagrams
    Generate reports quickly to effectively communicate results and facilitate decision-making
  • Data Management Tools and Utilities
    Locate and reuse existing data and analysis efficiently
  • FRACAS Integration
    Develop an integrated platform for managing and using data to help develop your maintenance strategies

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