Results 91 to 100 of about 31,697 (261)
A Multivariate Cumulative Sum Method for Continuous Damage Monitoring with Lamb-wave Sensors
International Journal of Prognostics and Health Management, 2015 This paper proposes a new damage monitoring method based on a multivariate cumulative sum test statistic applied to Lambwave sensing data for health monitoring in composites.
Spandan Mishra +2 more
doaj +1 more source
Efficient Computer Network Anomaly Detection by Changepoint Detection Methods
, 2012 We consider the problem of efficient on-line anomaly detection in computer network traffic. The problem is approached statistically, as that of sequential (quickest) changepoint detection.
Polunchenko, Aleksey S. +2 more
core +1 more source
Journal of Time Series Analysis, EarlyView.ABSTRACT With the advent of the Internet of Things, it is increasingly common to have large networks of sensors, where each sensor may collect different types of data, has limited local computing resources and the ability to transmit data to a central cloud. Detecting events that trigger changes in sensor data properties is a key concern.
Ziyang Yang +2 more
wiley +1 more source
Journal of Time Series Analysis, EarlyView.ABSTRACT In this paper, we propose a new test for the detection of a change in a non‐linear (auto‐)regressive time series as well as a corresponding estimator for the unknown time point of the change. To this end, we consider an at‐most‐one‐change model and approximate the unknown (auto‐)regression function by a neural network with one hidden layer. It
Claudia Kirch, Stefanie Schwaar
wiley +1 more source
New Cumulative Sum Control Chart for Monitoring Poisson Processes
IEEE Access, 2017 The cumulative sum (CUSUM) control charts are widely used for measurement control of continuous processes. However, the quality characteristics of interest in many production processes, follows a sequence of discrete counts for non-conformities often ...
Mu'azu Ramat Abujiya
doaj +1 more source
, 2017 Due to the widespread deployment of Global Navigation Satellite Systems (GNSSs) for critical road or urban applications, one of the major challenges to be solved is the provision of integrity to terrestrial environments, so that GNSS may be safety used ...
Egea-Roca, Daniel +3 more
core +1 more source
Online Detection of Forecast Model Inadequacies Using Forecast Errors
Journal of Time Series Analysis, EarlyView.ABSTRACT In many organizations, accurate forecasts are essential for making informed decisions in a variety of applications, from inventory management to staffing optimization. Whatever forecasting model is used, changes in the underlying process can lead to inaccurate forecasts, which will be damaging to decision‐making.
Thomas Grundy +2 more
wiley +1 more source
Detection of multiple change points for linear processes under negatively super-additive dependence
Journal of Inequalities and Applications, 2019 This paper focuses on the issue of detecting the multiple change points for linear processes under negatively super-additive dependence (NSD). We propose a CUSUM-type method in the multiple variance change model and establish the weak convergence rate of
Yuncai Yu +3 more
doaj +1 more source
Design and Application of Risk Adjusted Cumulative Sum (RACUSUM) for Online Strength Monitoring of Ready Mixed Concrete [PDF]
The Cumulative Sum (CUSUM) procedure is an effective statistical process control tool that can be used to monitor quality of ready mixed concrete (RMC) during its production process.
Dutta, Goutam, Sarkar Debasis
core
Reaction times of monitoring schemes for ARMA time series
, 2015 This paper is concerned with deriving the limit distributions of stopping times devised to sequentially uncover structural breaks in the parameters of an autoregressive moving average, ARMA, time series.
Aue, Alexander +3 more
core +1 more source