Condition Monitoring Algorithm for Piezoresistive Silicon-Based Stress Sensor Data Obtained from Electronic Control Units

Alexandru Prisacaru, Alicja Palczynska, Przemyslaw Jakub Gromala, Bongtae Han, Guo Qi Zhang

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)
20 Downloads (Pure)

Abstract

Recent advancements in automotive technologies, most notably autonomous driving, demand electronic systemsmuch more complex than realized in the past. The automotiveindustry has been forced to adopt advanced consumerelectronics to satisfy the demand, and thus it becomes morechallenging to assess system reliability while adopting the newtechnologies. The system level reliability can be enforced byimplementing a process called condition monitoring. In thispaper, a piezoresistive silicon based stress sensor isimplemented to detect physical damages in outer moldedelectronic control units (ECU) subjected to reliability testingconditions. The test vehicle consists of six DPAK powerpackages and three stress sensors mounted on a PrintedCircuit Board (PCB). A unique algorithm is proposed andimplemented to handle the data obtained from thepiezoresistive stress sensing cells. The accuracy of measureddata is examined by Finite Element method (FEM), and thephysical changes are validated with Scanning AcousticMicroscope (SAM).

Original languageEnglish
Title of host publicationProceedings - IEEE 67th Electronic Components and Technology Conference, ECTC 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1119-1127
Number of pages9
ISBN (Electronic)978-1-5090-6315-4
DOIs
Publication statusPublished - Jun 2017
Event67th IEEE Electronic Components and Technology Conference, ECTC 2017 - Lake Buena Vista, United States
Duration: 30 May 20172 Jun 2017

Conference

Conference67th IEEE Electronic Components and Technology Conference, ECTC 2017
CountryUnited States
CityLake Buena Vista
Period30/05/172/06/17

Keywords

  • Condition Monitoring
  • Electronic Control Units
  • Fault Detection
  • Stress Sensor

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