Mechanical Analysis
Donated on 5/31/1990
Fault diagnosis problem of electromechanical devices; also PUMPS DATA SET is newer version with domain theory and results
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Categorical, Integer, Real
# Instances
209
# Features
8
Dataset Information
Additional Information
F. Bergadano supplied this database. Each instance contains many components, each of which has 8 attributes. Different instances in this database have different numbers of components. It was impossible to put one instance on one line. He originally had one instance per file, but this makes it difficult to ftp them (imagine ftp'ing 222 or so files!). I bundled the set of 209 instances into a single data file, prefixing each with the line: ===== Instance number 1: ===== where "n" is a number in [1,221]. However, they are NOT, repeat NOT in sequential order. Twelve (12) of the instances are missing. Bergadano supplied these additional 12 instances (numbers 8,12,32,33,66,69,73,152,167,194,203,208) in a "notused" sub-directory. I bundled these up with the same format in the "notused-instances" file. A quick scan of their file didn't reveal what the purpose is for these twelve instances.
Has Missing Values?
No
Variable Information
0 - dummy (always 1) - used for numbering - ignore 1 - class - classification (1..6, the same for components of one example) 2 - # - component number (integer) 3 - sup - support in the machine where measure was taken (1..4) 4 - cpm - frequency of the measure (integer) 5 - mis - measure (real) 6 - misr - earlier measure (real) 7 - dir - filter, type of the measure and direction: {vo=<no filter, velocity, horizontal>, va=<no filter, velocity, axial>, vv=<no filter, velocity, vertical>, ao=<no filter, amplitude, horizontal>, aa=<no filter, amplitude, axial>, av=<no filter, amplitude, vertical>, io=<filter, velocity, horizontal>, ia=<filter, velocity, axial>, iv=<filter, velocity, vertical>} 8 - omega - rpm of the machine (integer, the same for components of one example)
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset mechanical_analysis = fetch_ucirepo(id=64) # data (as pandas dataframes) X = mechanical_analysis.data.features y = mechanical_analysis.data.targets # metadata print(mechanical_analysis.metadata) # variable information print(mechanical_analysis.variables)
Bergadano,F., Giordana,A., and Saitta,L.. (1990). Mechanical Analysis. UCI Machine Learning Repository. https://doi.org/10.24432/C5VG74.
@misc{misc_mechanical_analysis_64,
author = {Bergadano,F., Giordana,A., and Saitta,L.},
title = {{Mechanical Analysis}},
year = {1990},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5VG74}
}Creators
F. Bergadano
A. Giordana
L. Saitta
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.