Prognostics of Interconnect Degradation using RF Impedance Monitoring and Sequential Probability Ratio Test
نویسندگان
چکیده
For electronic products, interconnect failures may occur due to mechanisms such as fatigue, creep, corrosion, and mechanical over-stress. Regardless of the failure mechanism, interconnect degradation often starts at a surface and propagates inward. DC resistance, which has been used by the electronics industry to monitor the reliability of board level interconnects, does not offer an adequate means to predict an impending failure. However, RF impedance does respond to the early stages of interconnect degradation due to the skin effect, and thus can provide a failure precursor for an interconnect. This paper presents a prognostic technique to detect interconnect failure precursors using RF impedance monitoring and the sequential probability ratio test (SPRT) under thermomechanical loading conditions. Creep tests were conducted with a test vehicle including an impedance-controlled circuit board, a surface-mount low-pass filter, and two solder joints providing both mechanical and electrical connections between them. Constant mechanical loading was directly applied to the filter at an elevated temperature in order to generate creep failures of the solder joints. During solder joint degradation, the RF impedance provided detectable failure precursors by the sequential probability ratio test, while the DC resistance remained constant with no precursors prior to the generation of an open circuit. Failure analysis of a partially degraded solder joint revealed that the change in RF impedance resulted from a partial crack that initiated at the surface of the solder joint and propagated only part of the way across the solder joint. These test results indicate that the combination of RF impedance and SPRT can provide a non-destructive and real-time means to detect solder joint degradation.
منابع مشابه
Detection of Interconnect Failure Precursors Using Rf Impedance Analysis
Title of Document: DETECTION OF INTERCONNECT FAILURE PRECURSORS USING RF IMPEDANCE ANALYSIS Daeil Kwon, Doctor of Philosophy (Ph.D.), 2010 Directed By: Chair Professor and Director, Michael Pecht, Department of Mechanical Engineering Many failures in electronics result from the loss of electrical continuity of common board-level interconnects such as solder joints. Measurement methods based on ...
متن کاملUse of the Skin Effect for Detection of Interconnect Degradation
Measurements based on DC resistance have traditionally been used to monitor the reliability of electronic products. Unfortunately, DC resistance is not useful for detecting intermediate stages between a short and an open, such as a partially degraded interconnect. Under cyclic loading conditions, interconnect degradation is caused by fatigue cracking, which often initiates at the surface where ...
متن کامل1 Autonomous Prognostic Monitoring Device
A new device for monitoring the environmental and operational stress profiles of products used in a wide range of environmental conditions has been developed. This device, as small as a typical credit card, is capable of recording and transmitting environmental and operational stress data. Prognostic and health monitoring models and algorithms can use this data to do prognostics of the monitore...
متن کاملHigh-cycle Life Testing of Rf Mems Switches (preprint)
RF MEMS capacitive switches capable of orderof-magnitude impedance changes have demonstrated operating lifetimes exceeding 100 billion switching cycles without failure. In situ monitoring of switch characteristics demonstrates no significant degradation in performance and quantifies the charging properties of the switch silicon dioxide film. This demonstration leads credence to the mechanical r...
متن کاملAdaptive Monitoring, Fault Detection and Diagnostics, and Prognostics System for the IRIS Nuclear Plant
Ideally, health monitoring of new, complex engineering systems should occur from initial operation to decommissioning. Health monitoring typically involves a suite of modules, including system monitoring, fault detection, fault diagnostics, and system prognostics. However, for systems which have not yet operated, this is challenging. Most available health monitoring modules are empirically base...
متن کامل