找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Advanced Intelligent Pipeline Management Technology; Huai Su,Qi Liao,Enrico Zio Book 2023 The Editor(s) (if applicable) and The Author(s),

[復(fù)制鏈接]
樓主: VER
21#
發(fā)表于 2025-3-25 03:28:57 | 只看該作者
22#
發(fā)表于 2025-3-25 11:01:00 | 只看該作者
23#
發(fā)表于 2025-3-25 15:43:44 | 只看該作者
The Philosophy of Descartes: Special Topics. However, the effectiveness of the fault detection and diagnosis technique must be established first. The safety and dependability of oil and gas pipeline systems may be considerably improved by fault detection of pressurization devices. A deep learning-based fault detection and diagnosis approach
24#
發(fā)表于 2025-3-25 18:23:00 | 只看該作者
The Philosophy of Descartes: Special Topicsion of the pipeline. The pipeline leakage accidents not only cause serious economic loss, but also harm the safe operation of pipeline and personal safety. Consequently, it is extremely significant to detect and locate the leakage of the pipeline in time. Existing methods of detecting and locating p
25#
發(fā)表于 2025-3-25 21:02:19 | 只看該作者
26#
發(fā)表于 2025-3-26 00:18:25 | 只看該作者
27#
發(fā)表于 2025-3-26 07:38:12 | 只看該作者
28#
發(fā)表于 2025-3-26 08:27:13 | 只看該作者
29#
發(fā)表于 2025-3-26 16:38:23 | 只看該作者
30#
發(fā)表于 2025-3-26 18:35:51 | 只看該作者
The Philosophy of Descartes: Special Topicseline systems may be considerably improved by fault detection of pressurization devices. A deep learning-based fault detection and diagnosis approach is introduced in this chapter. The diagnostic accuracy for flaws of this technology, which combines time–frequency domain analysis and visual pattern recognition algorithms, can be above 95%.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-23 02:30
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
天全县| 兴义市| 无极县| 晴隆县| 衡阳县| 措美县| 海门市| 峨山| 华蓥市| 安吉县| 瑞丽市| 浦东新区| 宽城| 金华市| 望城县| 山东| 瑞昌市| 石泉县| 姜堰市| 贵阳市| 苍山县| 静安区| 丹江口市| 克拉玛依市| 吴忠市| 怀来县| 江都市| 塔河县| 永善县| 新宾| 成安县| 阜新市| 崇左市| 兰溪市| 台前县| 田林县| 巫溪县| 吉安市| 宿松县| 呼和浩特市| 蓬安县|