Electric Tool Failure Diagnosis With Expected Lifetime Estimation
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Solution Overview
Problem
Existing electric tool systems lack an effective method for determining the optimal time for maintenance and replacement, making it difficult for users to anticipate and prepare for potential failures.
Innovation Solution
An electric tool system with a measuring unit to collect physical quantities, a storage unit to associate these with time information, and an estimation unit to calculate an expected lifetime to failure, providing users with timely information for maintenance and replacement decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If physical quantity data is collected and stored with time information, then the basis for evaluation is improved, but the ability to determine optimal maintenance timing remains insufficient
Solution Approach 1:
The patent introduces an estimation unit as an intermediary component that processes the raw physical quantity data and time information stored in the storage unit. This estimation unit calculates expected lifetime information about the electric tool section, transforming the stored data into actionable maintenance timing recommendations. The intermediary converts incomplete maintenance decision information into a clear expected lifetime value that directly guides maintenance scheduling.
2Reliability
If only current condition evaluation is provided, then real-time status monitoring is achieved, but proactive maintenance planning is hindered
Solution Approach 1:
The patent implements preliminary action by having the estimation unit calculate expected lifetime information in advance, before actual failure occurs. Based on the physical quantity data and time information already stored from continuous monitoring, the system proactively determines when the electric tool section is likely to fail. This allows users to perform maintenance preparations ahead of time, eliminating the reactive delay that occurs when waiting for actual failure or severe degradation.
3Measurement precision
If detailed physical quantity data is stored with time information, then diagnostic accuracy is improved, but the complexity of determining maintenance timing increases
Solution Approach 1:
The patent applies the extraction principle by having the estimation unit extract the essential maintenance timing information from the comprehensive set of stored physical quantity data and time information. Instead of requiring users to analyze all the detailed diagnostic data themselves, the estimation unit extracts and presents only the critical expected lifetime information. This separates the complex data storage and processing functions from the simple maintenance decision-making process.
Data Source
AI summary
An electric tool system includes an electric tool section, a measuring unit, a storage unit, and an estimation unit. The measuring unit measures a physical quantity concerning the electric tool section. The storage unit stores a failure diagnostic value in association with time information about a point in time when the physical quantity is measured. The failure diagnostic value is at least one of the physical quantity measured by the measuring unit or an arithmetic value calculated based on the physical quantity. The estimation unit obtains, based on the failure diagnostic value and the time information that are stored in the storage unit, expected lifetime information about an estimated amount of time that is expected to take for the electric tool section to cause any failure.