Electric Drive Controller Power Generation Failure Diagnostics

Solution Overview

Problem

Heavy machinery, such as off-highway trucks, experience significant downtime and maintenance costs due to the complexity of diagnosing power generation failures in electric drive systems, which often require skilled personnel and extensive troubleshooting.

Innovation Solution

A method and system that uses a controller to monitor diagnostic values and machine parameters to determine power generation failures in electric drive systems by comparing actual values to expected operating values, setting a flag when differences exceed a threshold, thereby facilitating early detection and reducing downtime.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional troubleshooting methods are used for power generation failures, then skilled personnel can detect malfunctions, but the diagnostic process is complex and time-consuming

Engineering Contradiction:

Improvefault detection capabilityVSAvoiddiagnostic process complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs self-diagnosis by automatically monitoring power generation parameters and comparing them against expected values. The controller continuously assesses generator health status without requiring external skilled personnel, enabling the system to detect and report faults autonomously through programmed diagnostic algorithms

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual troubleshooting by skilled personnel is replaced with an automated electronic diagnostic system. The controller uses software-based parameter comparison and threshold analysis to substitute for human expertise, converting a manual mechanical process into an automated electronic measurement and evaluation system

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If traditional troubleshooting methods are used for power generation failures, then malfunctions can be detected, but significant time is spent locating the fault and performing repairs

Engineering Contradiction:

Improvefault detection capabilityVSAvoiddowntime

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system continuously monitors power generation parameters and compares them against expected values in real-time, performing diagnostic assessments before failures occur. By maintaining continuous parameter comparison and using threshold-based alerting, the system detects faults at early stages, enabling preventive maintenance and reducing overall downtime

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The controller continuously compares actual power generation parameters against expected values and uses this feedback to determine system health status. When parameters deviate from expected ranges, the system generates diagnostic information that guides rapid fault location and repair, creating a closed-loop diagnostic system that reduces time to resolution

Inventive Principle:

Principle #23Feedback

3Measurement precision

If skilled personnel are deployed for troubleshooting, then accurate fault detection is possible, but maintenance costs increase

Engineering Contradiction:

Improvefault detection accuracyVSAvoidmaintenance cost

Core Design Contradiction:

Measurement precisionVSLoss of energy

Solution Approach 1:

The system performs self-diagnosis by automatically monitoring power generation parameters and comparing them against expected values. The controller continuously assesses generator health status without requiring external skilled personnel, enabling the system to detect and report faults autonomously through programmed diagnostic algorithms

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual troubleshooting by skilled personnel is replaced with an automated electronic diagnostic system. The controller uses software-based parameter comparison and threshold analysis to substitute for human expertise, converting a manual mechanical process into an automated electronic measurement and evaluation system

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS7956762B2Method and apparatus for power generation failure diagnostics

Publication Date: 2011.06.07 CATERPILLAR INC

AI summary

A controller (500) in an electric drive system is used to develop power generation failure diagnostics. During operation, the controller (500) receives a set of generator inputs, a set of machine parameters, and a set of diagnostic values. Next, the controller (500) determines a set of expected operating values corresponding to the set of diagnostic values. The controller (500) then compares the obtained diagnostic values to one or more corresponding expected operating values. If the difference is greater than a threshold, the controller (500) provides an appropriate fault indication.