معرفی یک سیستم هشدار مبتنی بر پایداری طیفی برای تشخیص تغییرات میانگین و واریانس در متغیرهای فرآیند

نوع مقاله : علمی-پژوهشی

نویسنده

دانشکده فنی و مهندسی، دانشگاه لرستان، خرم آباد، ایران

چکیده

این مقاله، یک روش جدید برخط برای تشخیص خطا و تولید هشدار در متغیرهای فرآیندی تک‌متغیره با بهره‌گیری از روش تحلیل طیفی ارائه می‌دهد. رویکرد جدید از «شاخص پایداری طیفی» برای پایش تغییرات کوچک و در حال توسعه (incipient) در میانگین و واریانس سیگنال فرآیند استفاده می‌کند. روش شاخص پایداری طیفی این کار را با اندازه‌گیری انحراف چگالی طیفی توان سیگنال فرآیند در زمان واقعی از یک مدل مرجع مربوط به شرایط عملیاتی نرمال محقق می‌سازد. این روش ذاتاً حاوی یک مزیت مهم است: می‌تواند خطاهای در حال توسعه و با تغییرات کوچک را زودتر از روش‌های طراحی هشدار مبتنی بر تحلیل حوزه زمان تشخیص دهد. این روش به‌طور قابل توجهی از روش‌های مرسوم مانند CUSUM، باندهای مرده و تایمرهای تأخیر، و همچنین روش‌های پیشرفته‌تری که اخیراً معرفی شده‌اند، مانند سیستم‌های هشدار سری و آبشاری، عملکرد بهتری دارد. بررسی روش پیشنهادی از طریق مطالعات عددی و صنعتی، پتانسیل این روش را در بهبود چشمگیر پاسخگویی و دقت سیستم‌های هشدار صنعتی تأیید می‌کند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

A Spectral Stability-Based Alarm System for Detecting Process Mean and Variance Shifts

نویسنده [English]

  • Jafar Taheri-Kalani
Department of Engineering, Lorestan University, Khorramabad, Iran.
چکیده [English]

This paper presents an innovative online approach for univariate fault detection and alarm generation using the power of spectral analysis. The new approach utilizes a Spectral Stability Index (SSI) for simultaneous and sensitive monitoring of small and incipient changes in both the mean and variance of a process signal, which are common precursors to industrial alarm systems. The SSI framework accomplishes this by quantifying the deviation of the real-time power spectral density of the process signal from a reference model of normal operation. The method inherently carries an important advantage: it can detect low-level, developing faults much earlier than methods based on time-domain analysis. Its superior effectiveness is demonstrated through numerical and industrial case studies, where it significantly outperforms conventional methods, such as CUSUM, deadbands and delay timers, and more sophisticated advanced methods that have been recently introduced, such as serial and cascaded alarm systems. The results confirm the method's potential for substantially improving the responsiveness and accuracy of industrial alarm systems.

کلیدواژه‌ها [English]

  • Alarm systems
  • Incipient fault detection
  • Spectral stability index
  • Monitoring
  • Mean shift
  • Variance shift

مراجع

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