Howell Instruments Referred Engine Diagnostic Data (REDD)

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.

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