Represent the observations
Account for failures, suspensions, intervals and recurring events without discarding useful information.
Reliability Analysis Software
Statistical reliability analysis for products and repairable systems
Weibull Toolbox® helps engineers analyse failure behaviour, estimate reliability, evaluate recurring failures, interpret accelerated tests and understand how component reliability influences a system.
Weibull Toolbox® — Four specialised reliability analysis modules
Desktop application for Windows 10 or higher.
Integrated Toolbox
Four analysis perspectives
LDA
Life Data Analysis
RDA
Recurring Data Analysis
ALTA
Accelerated Life Test Analysis
RBD
Reliability Block Diagram
The Engineering Context
The method should follow the data and the decision
Reliability evidence comes in different forms: complete failures, suspensions, interval observations, recurring events and accelerated tests. Each form of evidence requires methods that reflect how the data was generated.
Weibull Toolbox brings established reliability methods into one engineering environment, helping users select an appropriate model, understand its assumptions and translate results into decisions.
Make assumptions visible
Compare suitable statistical models and communicate the uncertainty supported by the available data.
Support a decision
Connect reliability results with testing, maintenance, warranty, design and system-level questions.
Analysis Modules
Choose the analysis that matches the engineering question
Each module addresses a distinct data structure and reliability question, while maintaining a consistent analysis environment.
Life Data Analysis (LDA)
Analyse time-to-failure observations for non-repairable items to estimate failure behaviour, reliability, life metrics and uncertainty.
- Supports complete, right-censored (suspended), and interval-censored data types
- Includes major lifetime distributions (Weibull, Exponential, Lognormal, Normal)
- Implements Rank Regression and Maximum Likelihood Estimation (MLE) methods
- Provides Fisher Matrix and Likelihood Ratio Confidence Bounds
- Interactive calculator for reliability queries and analysis
Recurring Data Analysis (RDA)
Analyse recurring events from repairable systems to evaluate failure trends, estimate future events and examine maintenance implications.
- Power Law or Crow-AMSAA (NHPP) models for repairable system analysis
- Supports single system, multiple systems, and group interval data
- Calculates optimum overhaul time based on repair and overhaul costs
- Computes conditional reliability, MTBF, and failure intensity
- Projects expected number of failures for given time periods
- Interactive calculator for reliability queries
Accelerated Life Test Analysis (ALTA)
Relate life at elevated stress conditions to expected behaviour under normal use, while making the selected life-stress relationship explicit.
- Handles complete, right-censored, and interval-censored data
- Supports Weibull and Lognormal distributions
- Accommodates up to 3 simultaneous constant stresses
- Includes Arrhenius, Inverse-Power-Law, and Exponential life-stress models
- Interactive calculator for reliability queries
Reliability Block Diagram (RBD)
Represent how non-repairable components combine within a system and calculate their contribution to overall system reliability.
- Models series, parallel, K-out-of-N, combined, and complex configurations
- Delivers analytical solutions for system reliability
- Interactive calculator for reliability metrics
- Generates Reliability Importance plots
Free Online Analysis and Learning
Learning, teaching or exploring a dataset?
FreeWeibull.com provides free online Life Data Analysis and Recurring Data Analysis for engineers, educators and students.
Applied Reliability Engineering
Examples and case studies
Explore how statistical reliability methods can support product, maintenance, spare, warranty and engineering decisions.
A Life-Data Analysis example with Interval Censored data typeAn overview of Accelerated Life Test AnalysisTemperature cycling accelerated life test analysis based on Norris-Landzberg modelInventory Management: Life Data Analysis-Based Spare Part Usage ForecastsInventory Management: Forecasting Repairable Spare Requirements Using Recurring Data AnalysisEstimating Field Return Distribution Based on Reliability Test Results and Surveyed Usage Profiles (Life Data Analysis with Simulation)Comparing the Reliability of Products from Different SuppliersCost Benefit Analysis of a Reliability Improvement ProgramForecasting with Recurring Data Analysis: Risks and LimitationsComparing reliability performance of lubricating oil from different manufacturersLife Data Analysis for product with multiple failure modesExploring the realistic scope of 3-Parameter Weibull AnalysisDistribution Analysis for Components with Hidden Failure Mode
Start with the reliability question
Tell us about the data, the item or system, and the decision you need to support. We can help identify the appropriate analysis approach.