PATENTED REFERRED ENGINE DIAGNOSTIC DATA (REDD)® SOFTWARE PACKAGE PROVIDES DETAILED ANALYSIS AND DIAGNOSIS OF PROCESSED DATA
Howell Instruments, Inc. has developed a turbine engine diagnostic tool known as Referred Engine Diagnostic Data® (REDD) analysis program. The REDD® analysis program is a comprehensive thermodynamic analysis program that identifies abnormal engine operation by comparing actual engine performance with expected engine performance. Users of REDD® software will realize the following benefits:
- Simplified diagnostics
- Improved analysis and fault isolation
- Data for tuning the engine for optimum performance
- Identification of deteriorated/failed components.
- Verification and validation of repairs
- Reduction in false removals
- Ease of use
- Referred Engine Diagnostic Data (REDD)®
Summarized performance reports make engine condition determination easy. Good engine performance tracking is simplified with a quantified ranking of engine condition. Weak engines are highlighted for attention. Probable causes of substandard performance are identified, providing the mechanic with a logical path for repair.
High Power Performance Diagrams
For easy interpretation, engine performance information is divided into compressor, turbine, and overall sections. Color-coding gives the user a tool for determining engine performance at a glance. Clicking on the listed parameters takes the user directly to the supporting performance graph.
High Power Performance Charts
Color-coded bar charts graphically depict the relationship between measured and expected engine performance. Clicking on the horizontal bar takes one directly to the supporting performance graph.
REDD® Analysis Graphs
Graphs of each REDD® parameter used to analyze engine performance are available. Data points are plotted against a model of expected performance. Clicking on the resident icons enables alternate data display.
Component Deterioration Summary
Probable faults are listed providing an alternative to “trouble-shooting trees.” High-risk items point to abnormal engine performance with increased probability for component failure.