Bill Handling Unit Failure Detection Using Vibration Frequency

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Solution Overview

Problem

Existing bill handling apparatuses face difficulties when a failure occurs in field repair units, such as money receiving/paying units, storage units, and storage cassettes, making operations challenging.

Innovation Solution

A bill handling apparatus equipped with vibration detection sensors and a determining unit that analyzes vibration data using frequency analysis to detect and predict failures in field repair units, allowing for timely replacement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of repair

If field repair units are made individually replaceable to improve maintenance ease, then ease of repair is improved, but device complexity increases due to multiple modular components

Engineering Contradiction:
Improveease of repairVSAvoiddevice complexity
Core Design Contradiction:
Ease of repairVSDevice complexity

Solution Approach 1:

The bill handling apparatus is divided into multiple independently replaceable field repair units, each capable of being individually removed and replaced. This segmentation allows maintenance personnel to replace only the specific failed component rather than the entire apparatus, significantly improving ease of repair while the modular design manages complexity through standardized interfaces

Inventive Principle:
Principle #1Segmentation

2Reliability

If vibration sensors are added to detect failures in field repair units, then reliability is improved through early failure detection, but device complexity increases due to additional sensors and analysis systems

Engineering Contradiction:
ImprovereliabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces traditional mechanical failure detection methods with vibration-based sensing and frequency analysis. Vibration sensors detect mechanical anomalies in field repair units, and the determining unit analyzes vibration frequencies to identify failures. This substitution improves reliability by enabling early detection while using electronic sensing rather than complex mechanical monitoring systems

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The determination unit automatically analyzes vibration data from sensors and identifies failures without requiring manual inspection or intervention. The system self-monitors the field repair units and autonomously determines failure conditions, improving reliability through continuous monitoring while reducing the operational complexity of manual checking procedures

Inventive Principle:
Principle #25Self-service

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

Accurate detection and prediction of failures in field repair units, enabling preventive maintenance and maintaining apparatus functionality.

Implementation Method 1

a sensor that detects a vibration of the field repair unit

Methodology Applied
Scientific EffectVibration detection: Vibration

Data Source

PatentUS12562018B2Bill handling apparatus and failure determination method
Publication Date: 2026.02.24 FUJITSU FRONTECH LTD
  • US12562018B2 patent drawing
  • US12562018B2 patent drawing

AI summary

In a bill handling apparatus 1, a vibration detection sensor 51A to 51H detects a vibration of a field repair unit 3, 4, 6, 7a to 7d, 8, and a determining unit 52 determines whether there is a failure in the field repair unit 3, 4, 6, 7a to 7d, 8 based on the vibration detected by the vibration detection sensor 51A to 51H. For example, the determining unit 52 subjects the vibration detected by the vibration detection sensor 51A to 51H to frequency analysis, and determines that a failure has occurred in the field repair unit 3, 4, 6, 7a to 7d, 8 when a frequency of a frequency component having a maximum amplitude level in an analysis result of the frequency analysis is lower than a reference value.