Phase-Specific Acoustic Fault Detection for Equipment Components
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Solution Overview
Problem
Existing fault detection systems for apparatuses require significant computational resources, making them unsuitable for industrial use, and are unable to identify specific components causing malfunctions or detect anomalies in complex systems interacting with multiple components.
Innovation Solution
A method and system that acquires sound signals during operation cycles, compares them with audio tracks specific to identified work phases and components, and reduces computational complexity by selecting relevant audio tracks based on work phase and component identifiers, allowing for efficient detection of malfunctions and defective components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acoustic data and artificial intelligence are used for non-intrusive detection of malfunctions, then detection accuracy is improved, but computational capacity requirements increase significantly
Solution Approach 1:
The patent segments the acoustic analysis by dividing the operation cycle into multiple work phases, with each phase having its own dedicated audio track and analysis model. This allows the system to process only relevant phase-specific data rather than analyzing all acoustic data uniformly, reducing overall computational requirements while maintaining detection accuracy for each specific phase.
Solution Approach 2:
The system performs preliminary action by pre-processing and storing audio tracks for each identified work phase before actual malfunction detection occurs. During operation, the system only needs to compare current acoustic signals against pre-prepared phase-specific templates, significantly reducing real-time computational burden while maintaining high detection accuracy.
2Reliability
If comprehensive acoustic analysis is performed on all operation phases, then malfunction detection capability is improved, but processing time increases
Solution Approach 1:
The operation cycle is segmented into distinct work phases, each with its own audio track and detection parameters. This segmentation allows the system to process only the current active phase's data rather than analyzing all phases simultaneously, reducing processing time while maintaining comprehensive malfunction detection coverage across all phases.
Solution Approach 2:
The system applies partial action by focusing computational resources only on the currently active work phase rather than performing exhaustive analysis on all phases. This selective approach maintains reliable malfunction detection for the active phase while significantly reducing overall processing time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces computational requirements, identifies specific defective components quickly, and improves diagnostic reliability by accounting for different operating conditions, enabling effective monitoring of complex systems and anomalies.
Implementation Method 1
The system comprises a transducer, a diagnostic sampler and a controller. The transducer can be a microphone located in the vehicle to convert sounds into an electrical signal.
Data Source
AI summary
The present invention concerns a method and a system for detecting malfunctions in an apparatus and/or defects in a workpiece processed by said apparatus. The method provides for acquiring a sound signal emitted by an apparatus during an operation cycle of the same, then comparing the sound signal with a plurality of audio tracks stored in a memory area for determining a malfunction of the apparatus and/or a defectiveness of the workpiece processed by the apparatus based on the result of said comparison. The operation cycle is subdivided into a plurality of work phases and during the acquisition of the sound signal a work phase of said plurality of work phases is identified. Each audio track of the plurality of stored audio tracks comprises an audio component relating to acquired sound signals, and additional information data comprising at least one identifier of the work phase executed by the apparatus during the acquisition of the sound signals of the audio component. The plurality of audio tracks used for the comparison with the sound signal is a group of audio tracks of the plurality of audio tracks whose identifier of the work phase of the apparatus corresponds to the identified work phase. The identification data of the audio tracks additionally comprise at least one identifier of a plurality of components activated during the phase to which the audio component refers, and it is further provided for a) identifying a plurality of components activated during the identified work phase, b) on the basis of the plurality of activated components, identifying a set of comparison phases among the plurality of phases of the operation cycle, and c) identifying as defective at least one component between the plurality of components activated during the work phase and/or the workpiece, on the basis of the audio tracks relating to the set of comparison phases identified and/or on the basis of sound signals acquired during the identified comparison phases.