A new approach to data logging and on-line quality control for an electrolytic tin-plate production line

The usefulness of the parameters (e.g., slope, aspect) derived from a Digital Elevation Model (DEM) is limited by its accuracy. In this paper, a thematic-like quality control (class-based) of aspect and slope classes is proposed. A product can be compared against a reference dataset, which provides the quality requirements to be achieved, by comparing the product proportions of each class with those of the reference set. If a distance between the product proportions and the reference proportions is smaller than a small enough positive tolerance, which is fixed by the user, it will be considered that the degree of similarity between the product and the reference set is acceptable, and hence that its quality meets the requirements. A formal statistical procedure, based on a hypothesis test, is developed and its performance is analyzed using simulated data. It uses the Hellinger distance between the proportions. The application to the slope and aspect is illustrated using data derived from a 2×2 m DEM (reference) and 5×5 m DEM in Allo (province of Navarra, Spain).

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A New Approach to Machinery Monitoring and Diagnostics Using Self-Organizing Maps

Volume 3B: 15th Biennial Conference on Mechanical Vibration and Noise — Acoustics, Vibrations, and Rotating Machines ◽

10.1115/detc1995-0533 ◽

1995 ◽

Author(s):

Siyu Zhang ◽

R. Ganesan ◽

T. S. Sankar

Keyword(s):

Neural Network ◽

Service Life ◽

Trend Analysis ◽

New Approach ◽

Machine System ◽

Network Algorithm ◽

On Line ◽

Neural Network Algorithm ◽

Monitoring And Diagnostics ◽

Self Organizing

Abstract The problem of estimating an unknown multivariate function from on-line vibration measurements, for determining the conditions of a machine system and for estimating its service life is considered. This problem is formulated into a multiple-index based trend analysis problem and the corresponding indices for trend analysis are extracted from the on-line vibration data. Selection of these indices is based on the simultaneous consideration of commonly-observed faults or malfunctions in the machine system being monitored. A neural network algorithm that has been developed by the present authors for multiple-index based regression is adapted to perform the trend analysis of a machine system. Applications of this neural network algorithm to the condition monitoring and life estimation of both a bearing system as well as a gearbox are fully demonstrated. The efficiency and computational supremacy of the new algorithm are established through comparing with the performance of Self-Organizing Mapping (SOM) and Constrained Topological Mapping (CTM) algorithms. Further, the usefulness of multiple-index based trend analysis in precisely predicting the condition and service life of a machine system is clearly demonstrated. Using on-line vibration signal to constitute the set of variables for trend analysis, and employing the newly-developed self-organizing neural algorithm for performing the trend analysis, a new approach is developed for machinery monitoring and diagnostics.

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Systematic Innovation for Manufacturing Quality Improvement

MATEC Web of Conferences ◽

10.1051/matecconf/201822102005 ◽

2018 ◽

Vol 221 ◽

pp. 02005

Author(s):

Swee Shu Luing Nikalus ◽

Guan Toh Guat ◽

Mum Wai Yip ◽

See Chew Tai

Keyword(s):

Quality Control ◽

Production Line ◽

Function Analysis ◽

Low Cost ◽

Innovation Process ◽

Root Cause ◽

Latex Gloves ◽

Chain Analysis ◽

Air Blowing ◽

The Times

This paper provides a detailed analysis on the systematic innovation process in improving the quality control of latex gloves production. The systematic innovation tool such as TRIZ is applied in this case study. Function analysis, cause and effect chain analysis, physical contradiction, By-separation model and 40 Inventive Principles are applied in order to derive some feasible and low cost solutions to alleviate the problem. Findings revealed that the rejected (leaking) gloves on the production line will be manually monitored by a checker during the air blowing test and will be discarded by the same checker instantly. The main root cause is that the quality control worker is not able to concentrate all the times to detect the torn gloves, mainly is due to the fast speed production line and other distractions. The problem is solved by applying function analysis, physical contradiction, by-separation tool and Inventive Principles to generate low cost but elegant solutions within the defined scope of several constraints and without making the production line more complex. Therefore, it can be concluded that TRIZ is a systematic and innovative problem solving methodology.

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Characterization of Sheet Steels in the Development of On-Line Sensors for Quality Control Monitoring of Mechanical Properties

Nondestructive Characterization of Materials VI ◽

10.1007/978-1-4615-2574-5_9 ◽

1994 ◽

pp. 59-69

Author(s):

L. J. Swartzendruber ◽

Y. Rosenthal ◽

G. E. Hicho

Keyword(s):

Mechanical Properties ◽

Quality Control ◽

Sheet Steels ◽

On Line

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A Fuzzy Control Chart Approach for Attributes and Variables

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.2192 ◽

2018 ◽

Vol 8 (5) ◽

pp. 3360-3365 ◽

Cited By ~ 1

Author(s):

N. Pekin Alakoc ◽

A. Apaydin

Keyword(s):

Quality Control ◽

Fuzzy Control ◽

Control Chart ◽

Control Charts ◽

Fuzzy Numbers ◽

Fuzzy Theory ◽

New Approach ◽

Shewhart Control Charts ◽

Shewhart Control ◽

Quality Control Chart

The purpose of this study is to present a new approach for fuzzy control charts. The procedure is based on the fundamentals of Shewhart control charts and the fuzzy theory. The proposed approach is developed in such a way that the approach can be applied in a wide variety of processes. The main characteristics of the proposed approach are: The type of the fuzzy control charts are not restricted for variables or attributes, and the approach can be easily modified for different processes and types of fuzzy numbers with the evaluation or judgment of decision maker(s). With the aim of presenting the approach procedure in details, the approach is designed for fuzzy c quality control chart and an example of the chart is explained. Moreover, the performance of the fuzzy c chart is investigated and compared with the Shewhart c chart. The results of simulations show that the proposed approach has better performance and can detect the process shifts efficiently.

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