Weibull Toolbox® is an advanced statistical analysis suite designed to evaluate and model the failure characteristics of products and systems. This comprehensive tool enables reliability engineers to understand failure mechanisms, predict product lifespan, and implement data-driven improvements to enhance reliability.
The toolbox comprises four specialized modules that address different aspects of reliability engineering:
Life Data Analysis (LDA)
LDA examines time-to-failure data under various conditions to estimate failure probabilities, mean time to failure (MTTF), and other critical reliability metrics. This module is essential for analyzing non-repairable items and components.
Key Features:
- 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)
RDA specializes in analyzing repairable systems, estimating failure probabilities, expected failure counts, and optimal maintenance intervals. This module is widely applied in oil & gas, defense, automotive, and renewable energy industries.
Key Features:
- 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)
ALTA accelerates product aging through elevated stress conditions, enabling rapid assessment of reliability performance and lifespan predictions under normal operating conditions.
Key Features:
- 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)
RBD provides visual representation and analytical solutions for system reliability, illustrating how component reliability contributes to overall system performance for non-repairable systems.
Key Features:
- 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
Examples & Case Studies
- A Life-Data Analysis example with Interval Censored data type
- An overview of Accelerated Life Test Analysis
- Temperature cycling accelerated life test analysis based on Norris-Landzberg model
- Inventory Management: Life Data Analysis-Based Spare Part Usage Forecasts
- Inventory Management: Forecasting Repairable Spare Requirements Using Recurring Data Analysis
- Estimating Field Return Distribution Based on Reliability Test Results and Surveyed Usage Profiles (Life Data Analysis with Simulation)
- Comparing the Reliability of Products from Different Suppliers
- Cost Benefit Analysis of a Reliability Improvement Program
- Forecasting with Recurring Data Analysis: Risks and Limitations
- Comparing reliability performance of lubricating oil from different manufacturers
- Life Data Analysis for product with multiple failure modes
- Exploring the realistic scope of 3-Parameter Weibull Analysis
- Distribution Analysis for Components with Hidden Failure Mode