斯堪尼亚卡车APS故障和运行数据

This file is part of APS Failure and Operational Data for Scania Trucks. Attribute Information: The attribute names of the data have been anonymized for proprietary reasons. It consists of both single numerical counters and histograms consisting of bins with different conditions. Typically the histograms have open-ended conditions at each end. For example if we measuring the ambient temperature 'T' then the histogram could be defined with 4 bins where: bin 1 collect values for temperature T < -20 bin 2 collect values for temperature T >= -20 and T < 0 bin 3 collect values for temperature T >= 0 and T < 20 bin 4 collect values for temperature T > 20 | b1 | b2 | b3 | b4 | ----------------------------- -20 0 20 The attributes are as follows: class, then anonymized operational data. The operational data have an identifier and a bin id, like 'Identifier_Bin'. In total there are 171 attributes, of which 7 are histogram variabels. Missing values are denoted by 'na'. Relevant Papers: Industrial Challenge 2016 at The 15th International Symposium on Intelligent Data Analysis (IDA) -- Results: The top three contestants | Score | Number of Type 1 faults | Number of Type 2 faults ------------------------------------------------------------------------------------------------------------------------------------ Camila F. Costa and Mario A. Nascimento | 9920 | 542 | 9 Christopher Gondek, Daniel Hafner and Oliver R. Sampson | 10900 | 490 | 12 Sumeet Garnaik, Sushovan Das, Rama Syamala Sreepada and Bidyut Kr. Patra | 11480 | 398 | 15 Citation Request: If you have no special citation requests, please leave this field blank. -- Creator: Scania CV AB Vagnmakarv?¤gen 1 151 32 S??dert?¤lje Stockholm Sweden -- Donor: Tony Lindgren (tony '@' dsv.su.se) and Jonas Biteus (jonas.biteus '@' scania.com) -- Date: September, 2016

本文件隶属于《斯堪尼亚卡车APS故障与运行数据集》（APS Failure and Operational Data for Scania Trucks）。

属性说明：出于专有权益考量，数据集的属性名称已做匿名化处理。数据包含两类：一类为单一数值计数器，另一类为带有不同区间划分条件的直方图数据。此类直方图通常在两端设置开放区间。例如，若测量环境温度"T"，可将其划分为4个区间的直方图：
- 区间1：温度T < -20
- 区间2：温度T ≥ -20 且 T < 0
- 区间3：温度T ≥ 0 且 T < 20
- 区间4：温度T > 20
对应的区间分界格式如下：
| b1 | b2 | b3 | b4 |
-----------------------------
-20 0 20

数据集属性顺序如下：首先为类别标签（class），随后为匿名化处理后的运行数据。运行数据包含标识符与区间编号，命名格式为"Identifier_Bin"。本数据集总计包含171个属性，其中7个为直方图变量。缺失值以"na"标识。

相关研究论文：第15届智能数据分析国际研讨会（IDA 2016）产业挑战赛获奖结果——前三名参赛队伍：
| 参赛队伍 | 得分 | Type 1故障数 | Type 2故障数 |
------------------------------------------------------------------------------------------------------------------------------------
Camila F. Costa 与 Mario A. Nascimento | 9920 | 542 | 9
Christopher Gondek、Daniel Hafner 与 Oliver R. Sampson | 10900 | 490 | 12
Sumeet Garnaik、Sushovan Das、Rama Syamala Sreepada 与 Bidyut Kr. Patra | 11480 | 398 | 15

引用说明：若无特殊引用要求，此字段可留空。
——数据集创建方：Scania CV AB，Vagnmakarvägen 1，151 32 Södertälje，斯德哥尔摩，瑞典
——数据捐赠者：Tony Lindgren（邮箱：[e-mail]）与 Jonas Biteus（邮箱：[e-mail]）
——数据发布日期：2016年9月

搜集汇总

背景与挑战

背景概述

该数据集是斯堪尼亚卡车APS故障和运行数据，包含171个匿名化属性（其中7个为直方图变量），用于工业制造领域的故障分析和预测。数据集来源于2016年IDA工业挑战赛，具有明确的工业应用背景和研究价值。